WHS (Workplace Health & Safety) is seeking a Sr. Product Manager - Technical to lead an important product for our global safety operations. As a Sr. PMT for Amazon's WHS Data-Tech organization, you will play a vital role in inventing, simplifying, and scaling the work of the Amazon's technology products that have a tangible impact on safety of the global workforce. We seek a product leader who can manage large, cross-functional technology programs and projects. In this role, you will be responsible for partnering with technology and science sub-teams to deliver critical health and safety capabilities that require coordination with cross-functional teams worldwide. You will work closely with managers and their teams of technical product managers, developers, data engineers, and data scientists to provide products and services that will deliver insights and improve the safety processes of WHS worldwide. The right candidate will possess a strong product and technology background. You must be able to thrive and succeed in a challenging entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done. As a Sr PMT, you will anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance the business needs versus technical constraints. An ability to take large, complex products and break them down into manageable pieces, develop functional specifications, then deliver them in a successful and timely manner is expected. Key job responsibilities • Product Management: Leveraging your strong foundation in product management concepts and methodologies, you will deliver on the product strategy, road mapping, and prioritization of features for safety products and solutions. • Unified user experience: identify user needs by conducting user research, onsite visits, and gathering feedback Voice of Associate mechanisms. Work closely with program and engineering teams to build a unified user interface to streamline user experience. • Communication and Collaboration: Communicate product visions, goals, and requirements to diverse stakeholders, including Program, Ops, Tech and Finance teams. Facilitate collaboration among cross-functional teams to ensure smooth product development. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! About the team WHS Data-Tech's charter is to deliver technology solutions and data insights that help reduce workplace risks and injuries at Amazon. Our customers are Worldwide (WW) Operations and the WHS organization. The technology solutions landscape for WHS Data-Tech IN includes web applications built using native Amazon Web Services (AWS) technologies and device-software hybrid solutions that leverage generative artificial intelligence (AI), computer vision, sensors and Internet of Things (IoT1) technologies. Additionally, the team conducts scientific research and modeling to generate safety insights and provides analytical solutions, ranging from senior leadership deliverables to individual business unit specific reports. BASIC QUALIFICATIONS - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning - 5+ years of end to end product delivery experience - Bachelor's degree in engineering, finance, science, analytics, and business management PREFERRED QUALIFICATIONS - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools - Master's Degree in Engineering, Business Administration, Analytics, and Science. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
10/08/2025
Full time
WHS (Workplace Health & Safety) is seeking a Sr. Product Manager - Technical to lead an important product for our global safety operations. As a Sr. PMT for Amazon's WHS Data-Tech organization, you will play a vital role in inventing, simplifying, and scaling the work of the Amazon's technology products that have a tangible impact on safety of the global workforce. We seek a product leader who can manage large, cross-functional technology programs and projects. In this role, you will be responsible for partnering with technology and science sub-teams to deliver critical health and safety capabilities that require coordination with cross-functional teams worldwide. You will work closely with managers and their teams of technical product managers, developers, data engineers, and data scientists to provide products and services that will deliver insights and improve the safety processes of WHS worldwide. The right candidate will possess a strong product and technology background. You must be able to thrive and succeed in a challenging entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done. As a Sr PMT, you will anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance the business needs versus technical constraints. An ability to take large, complex products and break them down into manageable pieces, develop functional specifications, then deliver them in a successful and timely manner is expected. Key job responsibilities • Product Management: Leveraging your strong foundation in product management concepts and methodologies, you will deliver on the product strategy, road mapping, and prioritization of features for safety products and solutions. • Unified user experience: identify user needs by conducting user research, onsite visits, and gathering feedback Voice of Associate mechanisms. Work closely with program and engineering teams to build a unified user interface to streamline user experience. • Communication and Collaboration: Communicate product visions, goals, and requirements to diverse stakeholders, including Program, Ops, Tech and Finance teams. Facilitate collaboration among cross-functional teams to ensure smooth product development. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! About the team WHS Data-Tech's charter is to deliver technology solutions and data insights that help reduce workplace risks and injuries at Amazon. Our customers are Worldwide (WW) Operations and the WHS organization. The technology solutions landscape for WHS Data-Tech IN includes web applications built using native Amazon Web Services (AWS) technologies and device-software hybrid solutions that leverage generative artificial intelligence (AI), computer vision, sensors and Internet of Things (IoT1) technologies. Additionally, the team conducts scientific research and modeling to generate safety insights and provides analytical solutions, ranging from senior leadership deliverables to individual business unit specific reports. BASIC QUALIFICATIONS - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning - 5+ years of end to end product delivery experience - Bachelor's degree in engineering, finance, science, analytics, and business management PREFERRED QUALIFICATIONS - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools - Master's Degree in Engineering, Business Administration, Analytics, and Science. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Job Description: Director, Software Engineering - Asset Management Technology The Role You are an experienced engineer with a deep hands-on experience of systems development, and a burning desire to deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance. You are passionate about this opportunity to help drive and deliver first-of-a-kind knowledge-based applications for investment professionals. You have prior experience in developing and crafting products using constantly evolving, powerful yet brittle, AI technology. You are comfortable working in a fast-paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening. You are skilled at working with senior business, architecture and engineering stakeholders. You enjoy mentoring junior contributors, helping them grow and learn new skills in today's engineering field. You are a critical thinker who revels in working as part of a team to deliver the most amount of value in the least amount of time. This position is for an individual contributor role, meaning that you will not have any direct reports or management responsibilities. This is a very hands on, technical development role where you will be expected to be doing development work with the team. The Expertise and Skills You Bring A Bachelor's or Master's Computer Science or relevant field, with ten years plus of industrial experience. Proficient in deploying software products into production capable of handling large volumes of data at scale. Design, develop, and maintain robust, scalable, and secure Python-based applications and services. Strong understanding of Python internals, performance tuning, and advanced language features. Write clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards. Optimize Python applications for performance, memory usage, and concurrency. Ability to orchestrate solutions within a cloud-based environment Strong understanding of standard methodologies for large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud. An understanding of how to deliver into production GenAI applications that can reliably process information in open-ended settings. Strong attention to detail with a passion for validation and verification of software components. Excellent communication skills and the ability to work with distributed team members. Comfortable working directly with internal customers and business stakeholders. The Team We are developing a Large Language Model (LLM)-first knowledge stack for investment professionals at Fidelity Asset Management - analysts and portfolio manager in equities, fixed income, high income, direct lending. The stack will be able to process all the documents of interest to analysts - e.g., analyst reports, earnings notes, spreadsheet models, prospectuses, loan indentures, news reports, regulatory filings. It will support the deployment of personalized assistants that can assist principals in their full range of information consumption/processing/production tasks. Certifications: Category: Information Technology Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
10/07/2025
Full time
Job Description: Director, Software Engineering - Asset Management Technology The Role You are an experienced engineer with a deep hands-on experience of systems development, and a burning desire to deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance. You are passionate about this opportunity to help drive and deliver first-of-a-kind knowledge-based applications for investment professionals. You have prior experience in developing and crafting products using constantly evolving, powerful yet brittle, AI technology. You are comfortable working in a fast-paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening. You are skilled at working with senior business, architecture and engineering stakeholders. You enjoy mentoring junior contributors, helping them grow and learn new skills in today's engineering field. You are a critical thinker who revels in working as part of a team to deliver the most amount of value in the least amount of time. This position is for an individual contributor role, meaning that you will not have any direct reports or management responsibilities. This is a very hands on, technical development role where you will be expected to be doing development work with the team. The Expertise and Skills You Bring A Bachelor's or Master's Computer Science or relevant field, with ten years plus of industrial experience. Proficient in deploying software products into production capable of handling large volumes of data at scale. Design, develop, and maintain robust, scalable, and secure Python-based applications and services. Strong understanding of Python internals, performance tuning, and advanced language features. Write clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards. Optimize Python applications for performance, memory usage, and concurrency. Ability to orchestrate solutions within a cloud-based environment Strong understanding of standard methodologies for large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud. An understanding of how to deliver into production GenAI applications that can reliably process information in open-ended settings. Strong attention to detail with a passion for validation and verification of software components. Excellent communication skills and the ability to work with distributed team members. Comfortable working directly with internal customers and business stakeholders. The Team We are developing a Large Language Model (LLM)-first knowledge stack for investment professionals at Fidelity Asset Management - analysts and portfolio manager in equities, fixed income, high income, direct lending. The stack will be able to process all the documents of interest to analysts - e.g., analyst reports, earnings notes, spreadsheet models, prospectuses, loan indentures, news reports, regulatory filings. It will support the deployment of personalized assistants that can assist principals in their full range of information consumption/processing/production tasks. Certifications: Category: Information Technology Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Job Description: Director, Software Engineering - Asset Management Technology The Role You are an experienced engineer with a deep hands-on experience of systems development, and a burning desire to deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance. You are passionate about this opportunity to help drive and deliver first-of-a-kind knowledge-based applications for investment professionals. You have prior experience in developing and crafting products using constantly evolving, powerful yet brittle, AI technology. You are comfortable working in a fast-paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening. You are skilled at working with senior business, architecture and engineering stakeholders. You enjoy mentoring junior contributors, helping them grow and learn new skills in today's engineering field. You are a critical thinker who revels in working as part of a team to deliver the most amount of value in the least amount of time. This position is for an individual contributor role, meaning that you will not have any direct reports or management responsibilities. This is a very hands on, technical development role where you will be expected to be doing development work with the team. The Expertise and Skills You Bring A Bachelor's or Master's Computer Science or relevant field, with ten years plus of industrial experience. Proficient in deploying software products into production capable of handling large volumes of data at scale. Design, develop, and maintain robust, scalable, and secure Python-based applications and services. Strong understanding of Python internals, performance tuning, and advanced language features. Write clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards. Optimize Python applications for performance, memory usage, and concurrency. Ability to orchestrate solutions within a cloud-based environment Strong understanding of standard methodologies for large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud. An understanding of how to deliver into production GenAI applications that can reliably process information in open-ended settings. Strong attention to detail with a passion for validation and verification of software components. Excellent communication skills and the ability to work with distributed team members. Comfortable working directly with internal customers and business stakeholders. The Team We are developing a Large Language Model (LLM)-first knowledge stack for investment professionals at Fidelity Asset Management - analysts and portfolio manager in equities, fixed income, high income, direct lending. The stack will be able to process all the documents of interest to analysts - e.g., analyst reports, earnings notes, spreadsheet models, prospectuses, loan indentures, news reports, regulatory filings. It will support the deployment of personalized assistants that can assist principals in their full range of information consumption/processing/production tasks. Certifications: Category: Information Technology Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
10/06/2025
Full time
Job Description: Director, Software Engineering - Asset Management Technology The Role You are an experienced engineer with a deep hands-on experience of systems development, and a burning desire to deliver software solutions which unlock the capabilities of Generative AI in the context of a professional domain such as finance. You are passionate about this opportunity to help drive and deliver first-of-a-kind knowledge-based applications for investment professionals. You have prior experience in developing and crafting products using constantly evolving, powerful yet brittle, AI technology. You are comfortable working in a fast-paced environment where the lag between conceptualization, research, development, and productionization is constantly shortening. You are skilled at working with senior business, architecture and engineering stakeholders. You enjoy mentoring junior contributors, helping them grow and learn new skills in today's engineering field. You are a critical thinker who revels in working as part of a team to deliver the most amount of value in the least amount of time. This position is for an individual contributor role, meaning that you will not have any direct reports or management responsibilities. This is a very hands on, technical development role where you will be expected to be doing development work with the team. The Expertise and Skills You Bring A Bachelor's or Master's Computer Science or relevant field, with ten years plus of industrial experience. Proficient in deploying software products into production capable of handling large volumes of data at scale. Design, develop, and maintain robust, scalable, and secure Python-based applications and services. Strong understanding of Python internals, performance tuning, and advanced language features. Write clean, idiomatic, and well-documented Python code following PEP8 and enterprise coding standards. Optimize Python applications for performance, memory usage, and concurrency. Ability to orchestrate solutions within a cloud-based environment Strong understanding of standard methodologies for large scale application design, SOA, microservices, distributed compute, containers, and use of the cloud. An understanding of how to deliver into production GenAI applications that can reliably process information in open-ended settings. Strong attention to detail with a passion for validation and verification of software components. Excellent communication skills and the ability to work with distributed team members. Comfortable working directly with internal customers and business stakeholders. The Team We are developing a Large Language Model (LLM)-first knowledge stack for investment professionals at Fidelity Asset Management - analysts and portfolio manager in equities, fixed income, high income, direct lending. The stack will be able to process all the documents of interest to analysts - e.g., analyst reports, earnings notes, spreadsheet models, prospectuses, loan indentures, news reports, regulatory filings. It will support the deployment of personalized assistants that can assist principals in their full range of information consumption/processing/production tasks. Certifications: Category: Information Technology Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities Primary Responsibilities: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity Lead the team in bringing the ML models built by the OptumAI team to production with high scalability, reliability, availability, performance, and cost efficiency Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, scientist, product managers, and SMEs Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions Drive innovation through research and adoption of cutting-edge AI technologies and methodologies Personally design, develop, and implement AI and machine learning models using deep learning algorithms and deep understanding of agentic approaches Collaborate with cross-functional leadership to translate business needs into AI strategy Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness Lead the integration of AI solutions with existing systems and applications Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Run A/B experiments, gather data, and perform statistical analysis Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Research and implement innovative GenAI approaches Mentor and help recruit AI/ML scientists and machine learning engineers to the team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: A PhD in AI, computer science, data science, applied math or related technical fields 8+ years of industry/academic experience in machine learning or a related field 5+ years of building models for business application experience 5+ years leading technical teams Hands-on experience with machine learning libraries and frameworks Experience with modern AI tools, frameworks, and methodologies Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles In-depth knowledge in Generative AI, Large Language Models (LLM) and Agentic technology Solid and current programming skills in Python or other relevant programming languages Preferred Qualifications: Experience in AI/ML in the healthcare and or Fintech sector Experience in establishing AI/ML best practices, standards, and ethics All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
10/05/2025
Full time
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities Primary Responsibilities: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity Lead the team in bringing the ML models built by the OptumAI team to production with high scalability, reliability, availability, performance, and cost efficiency Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, scientist, product managers, and SMEs Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions Drive innovation through research and adoption of cutting-edge AI technologies and methodologies Personally design, develop, and implement AI and machine learning models using deep learning algorithms and deep understanding of agentic approaches Collaborate with cross-functional leadership to translate business needs into AI strategy Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness Lead the integration of AI solutions with existing systems and applications Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Run A/B experiments, gather data, and perform statistical analysis Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Research and implement innovative GenAI approaches Mentor and help recruit AI/ML scientists and machine learning engineers to the team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: A PhD in AI, computer science, data science, applied math or related technical fields 8+ years of industry/academic experience in machine learning or a related field 5+ years of building models for business application experience 5+ years leading technical teams Hands-on experience with machine learning libraries and frameworks Experience with modern AI tools, frameworks, and methodologies Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles In-depth knowledge in Generative AI, Large Language Models (LLM) and Agentic technology Solid and current programming skills in Python or other relevant programming languages Preferred Qualifications: Experience in AI/ML in the healthcare and or Fintech sector Experience in establishing AI/ML best practices, standards, and ethics All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities Primary Responsibilities: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity Lead the team in bringing the ML models built by the OptumAI team to production with high scalability, reliability, availability, performance, and cost efficiency Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, scientist, product managers, and SMEs Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions Drive innovation through research and adoption of cutting-edge AI technologies and methodologies Personally design, develop, and implement AI and machine learning models using deep learning algorithms and deep understanding of agentic approaches Collaborate with cross-functional leadership to translate business needs into AI strategy Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness Lead the integration of AI solutions with existing systems and applications Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Run A/B experiments, gather data, and perform statistical analysis Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Research and implement innovative GenAI approaches Mentor and help recruit AI/ML scientists and machine learning engineers to the team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: A PhD in AI, computer science, data science, applied math or related technical fields 8+ years of industry/academic experience in machine learning or a related field 5+ years of building models for business application experience 5+ years leading technical teams Hands-on experience with machine learning libraries and frameworks Experience with modern AI tools, frameworks, and methodologies Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles In-depth knowledge in Generative AI, Large Language Models (LLM) and Agentic technology Solid and current programming skills in Python or other relevant programming languages Preferred Qualifications: Experience in AI/ML in the healthcare and or Fintech sector Experience in establishing AI/ML best practices, standards, and ethics All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
10/05/2025
Full time
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities Primary Responsibilities: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity Lead the team in bringing the ML models built by the OptumAI team to production with high scalability, reliability, availability, performance, and cost efficiency Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, scientist, product managers, and SMEs Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions Drive innovation through research and adoption of cutting-edge AI technologies and methodologies Personally design, develop, and implement AI and machine learning models using deep learning algorithms and deep understanding of agentic approaches Collaborate with cross-functional leadership to translate business needs into AI strategy Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness Lead the integration of AI solutions with existing systems and applications Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Run A/B experiments, gather data, and perform statistical analysis Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Research and implement innovative GenAI approaches Mentor and help recruit AI/ML scientists and machine learning engineers to the team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: A PhD in AI, computer science, data science, applied math or related technical fields 8+ years of industry/academic experience in machine learning or a related field 5+ years of building models for business application experience 5+ years leading technical teams Hands-on experience with machine learning libraries and frameworks Experience with modern AI tools, frameworks, and methodologies Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles In-depth knowledge in Generative AI, Large Language Models (LLM) and Agentic technology Solid and current programming skills in Python or other relevant programming languages Preferred Qualifications: Experience in AI/ML in the healthcare and or Fintech sector Experience in establishing AI/ML best practices, standards, and ethics All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities Primary Responsibilities: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity Lead the team in bringing the ML models built by the OptumAI team to production with high scalability, reliability, availability, performance, and cost efficiency Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, scientist, product managers, and SMEs Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions Drive innovation through research and adoption of cutting-edge AI technologies and methodologies Personally design, develop, and implement AI and machine learning models using deep learning algorithms and deep understanding of agentic approaches Collaborate with cross-functional leadership to translate business needs into AI strategy Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness Lead the integration of AI solutions with existing systems and applications Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Run A/B experiments, gather data, and perform statistical analysis Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Research and implement innovative GenAI approaches Mentor and help recruit AI/ML scientists and machine learning engineers to the team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: A PhD in AI, computer science, data science, applied math or related technical fields 8+ years of industry/academic experience in machine learning or a related field 5+ years of building models for business application experience 5+ years leading technical teams Hands-on experience with machine learning libraries and frameworks Experience with modern AI tools, frameworks, and methodologies Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles In-depth knowledge in Generative AI, Large Language Models (LLM) and Agentic technology Solid and current programming skills in Python or other relevant programming languages Preferred Qualifications: Experience in AI/ML in the healthcare and or Fintech sector Experience in establishing AI/ML best practices, standards, and ethics All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
10/05/2025
Full time
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities Primary Responsibilities: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity Lead the team in bringing the ML models built by the OptumAI team to production with high scalability, reliability, availability, performance, and cost efficiency Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, scientist, product managers, and SMEs Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions Drive innovation through research and adoption of cutting-edge AI technologies and methodologies Personally design, develop, and implement AI and machine learning models using deep learning algorithms and deep understanding of agentic approaches Collaborate with cross-functional leadership to translate business needs into AI strategy Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness Lead the integration of AI solutions with existing systems and applications Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Run A/B experiments, gather data, and perform statistical analysis Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Research and implement innovative GenAI approaches Mentor and help recruit AI/ML scientists and machine learning engineers to the team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: A PhD in AI, computer science, data science, applied math or related technical fields 8+ years of industry/academic experience in machine learning or a related field 5+ years of building models for business application experience 5+ years leading technical teams Hands-on experience with machine learning libraries and frameworks Experience with modern AI tools, frameworks, and methodologies Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles In-depth knowledge in Generative AI, Large Language Models (LLM) and Agentic technology Solid and current programming skills in Python or other relevant programming languages Preferred Qualifications: Experience in AI/ML in the healthcare and or Fintech sector Experience in establishing AI/ML best practices, standards, and ethics All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities Primary Responsibilities: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity Lead the team in bringing the ML models built by the OptumAI team to production with high scalability, reliability, availability, performance, and cost efficiency Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, scientist, product managers, and SMEs Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions Drive innovation through research and adoption of cutting-edge AI technologies and methodologies Personally design, develop, and implement AI and machine learning models using deep learning algorithms and deep understanding of agentic approaches Collaborate with cross-functional leadership to translate business needs into AI strategy Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness Lead the integration of AI solutions with existing systems and applications Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Run A/B experiments, gather data, and perform statistical analysis Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Research and implement innovative GenAI approaches Mentor and help recruit AI/ML scientists and machine learning engineers to the team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: A PhD in AI, computer science, data science, applied math or related technical fields 8+ years of industry/academic experience in machine learning or a related field 5+ years of building models for business application experience 5+ years leading technical teams Hands-on experience with machine learning libraries and frameworks Experience with modern AI tools, frameworks, and methodologies Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles In-depth knowledge in Generative AI, Large Language Models (LLM) and Agentic technology Solid and current programming skills in Python or other relevant programming languages Preferred Qualifications: Experience in AI/ML in the healthcare and or Fintech sector Experience in establishing AI/ML best practices, standards, and ethics All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
10/05/2025
Full time
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities Primary Responsibilities: Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity Lead the team in bringing the ML models built by the OptumAI team to production with high scalability, reliability, availability, performance, and cost efficiency Contribute to our org-wide product ideation in collaboration with other engineering leaders, engineers, scientist, product managers, and SMEs Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions Drive innovation through research and adoption of cutting-edge AI technologies and methodologies Personally design, develop, and implement AI and machine learning models using deep learning algorithms and deep understanding of agentic approaches Collaborate with cross-functional leadership to translate business needs into AI strategy Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness Lead the integration of AI solutions with existing systems and applications Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing the ML models Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value Run A/B experiments, gather data, and perform statistical analysis Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving Research and implement innovative GenAI approaches Mentor and help recruit AI/ML scientists and machine learning engineers to the team You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: A PhD in AI, computer science, data science, applied math or related technical fields 8+ years of industry/academic experience in machine learning or a related field 5+ years of building models for business application experience 5+ years leading technical teams Hands-on experience with machine learning libraries and frameworks Experience with modern AI tools, frameworks, and methodologies Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles In-depth knowledge in Generative AI, Large Language Models (LLM) and Agentic technology Solid and current programming skills in Python or other relevant programming languages Preferred Qualifications: Experience in AI/ML in the healthcare and or Fintech sector Experience in establishing AI/ML best practices, standards, and ethics All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $132,200 to $226,600 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
Role Overview: The Senior Director of Research & Innovation will play a pivotal role in elevating the employee experience through data-driven research and expert design. This role is at the forefront of shaping the future of work by driving AI adoption and innovation within and through the People Function. As a strategic leader, you will influence and inspire teams to deliver measurable business value and foster a culture of trust and empowerment. Key Responsibilities: AI Strategy and Implementation: Drive the adoption of AI and Generative AI within the People Function, supporting broader enterprise integration. Shape and refine the AI strategy, leveraging existing tools like our internal ChatGPT instance and Microsoft Copilot while exploring additional resources. Serve as a thought leader in AI, guiding the function's strategic direction and innovation initiatives. Leadership and Team Management: Coach and develop three direct reports, leading teams focused on Employee Experience Research, User Experience Design, and Content Strategy. Mentor team leaders, fostering a culture of growth, feedback, and collective success. Inspire and rally teams towards common goals, ensuring alignment with strategic priorities. Cross-Functional Collaboration: Build and maintain strong relationships with stakeholders and partners across the People Function, Tech & Digital, AI, and Innovation teams to drive strategic initiatives. Act as an ambassador for human-centered design and the strategic value of the employee experience across the enterprise. Strategic Planning and Execution: Define and drive strategic objectives aligned with the function's multi-year strategy and annual objectives. Develop success metrics to track the team's impact, ensuring transparency and accountability in outcomes from idea generation to execution. Establish and maintain a pipeline of high-impact ideas, balancing desirability, feasibility, and viability while driving tangible business outcomes. The Ideal Candidate You are a strategic facilitator and orchestrator of innovation-a leader who thrives in ambiguity, translates vision into action, and builds high-performing, collaborative environments. You have deep experience leading innovation initiatives, ensuring the right ideas move forward and deliver measurable impact. Qualifications: Minimum of 10 years of experience in a creative or strategic role, with digital agency experience as a plus. Proven experience managing teams of managers and driving business outcomes. Strong business acumen, with the ability to craft persuasive business cases and influence senior leaders. Demonstrated ability to build a culture of trust, empowerment, and collaboration. Excellent communication skills and the ability to influence and inspire cross-functional teams. Extensive design expertise applied across diverse contexts, with proven success in partnering with content strategy, research design operations, product, engineering, and business stakeholders. Strong advocate for design processes and methodologies, with experience in empowering non-designers to leverage these practices effectively. Demonstrated foundational portfolio in design, showcasing fluency in UX research, content strategy, copywriting, and product management. Experience in highly regulated industries such as finance, banking, insurance, or healthcare is advantageous. Leadership Attributes: Visionary & Pragmatic: Inspire bold thinking while ensuring execution and impact. Influential & Persuasive: Build trust and drive change without direct authority. Master Facilitator: Create dynamic, engaging environments that surface the best ideas. Agile & Adaptive: Navigate ambiguity and pivot when needed. Data-Driven & Results-Oriented: Quantify success and drive accountability. Growth-Oriented: Foster a growth mindset with a focus on team development and strategic clarity. Collaborative & People-Centered: Prioritize collective success and foster a people-centered approach, emphasizing strong collaboration and co-creation skills with a focus on human-centered design. Compensation Range: Pay Range - Start: $149,380.00 Pay Range - End: $277,420.00 Geographic Specific Pay Structure: 230 - Structure 110: 164,290.00 USD - 305,110.00 USD 230 - Structure 115: 171,780.00 USD - 319,020.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Job Posting End Date: 11/17/2025 The timeline for this job posting may be shortened or extended based on organizational needs. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Nor t hwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:Science,
10/04/2025
Full time
Role Overview: The Senior Director of Research & Innovation will play a pivotal role in elevating the employee experience through data-driven research and expert design. This role is at the forefront of shaping the future of work by driving AI adoption and innovation within and through the People Function. As a strategic leader, you will influence and inspire teams to deliver measurable business value and foster a culture of trust and empowerment. Key Responsibilities: AI Strategy and Implementation: Drive the adoption of AI and Generative AI within the People Function, supporting broader enterprise integration. Shape and refine the AI strategy, leveraging existing tools like our internal ChatGPT instance and Microsoft Copilot while exploring additional resources. Serve as a thought leader in AI, guiding the function's strategic direction and innovation initiatives. Leadership and Team Management: Coach and develop three direct reports, leading teams focused on Employee Experience Research, User Experience Design, and Content Strategy. Mentor team leaders, fostering a culture of growth, feedback, and collective success. Inspire and rally teams towards common goals, ensuring alignment with strategic priorities. Cross-Functional Collaboration: Build and maintain strong relationships with stakeholders and partners across the People Function, Tech & Digital, AI, and Innovation teams to drive strategic initiatives. Act as an ambassador for human-centered design and the strategic value of the employee experience across the enterprise. Strategic Planning and Execution: Define and drive strategic objectives aligned with the function's multi-year strategy and annual objectives. Develop success metrics to track the team's impact, ensuring transparency and accountability in outcomes from idea generation to execution. Establish and maintain a pipeline of high-impact ideas, balancing desirability, feasibility, and viability while driving tangible business outcomes. The Ideal Candidate You are a strategic facilitator and orchestrator of innovation-a leader who thrives in ambiguity, translates vision into action, and builds high-performing, collaborative environments. You have deep experience leading innovation initiatives, ensuring the right ideas move forward and deliver measurable impact. Qualifications: Minimum of 10 years of experience in a creative or strategic role, with digital agency experience as a plus. Proven experience managing teams of managers and driving business outcomes. Strong business acumen, with the ability to craft persuasive business cases and influence senior leaders. Demonstrated ability to build a culture of trust, empowerment, and collaboration. Excellent communication skills and the ability to influence and inspire cross-functional teams. Extensive design expertise applied across diverse contexts, with proven success in partnering with content strategy, research design operations, product, engineering, and business stakeholders. Strong advocate for design processes and methodologies, with experience in empowering non-designers to leverage these practices effectively. Demonstrated foundational portfolio in design, showcasing fluency in UX research, content strategy, copywriting, and product management. Experience in highly regulated industries such as finance, banking, insurance, or healthcare is advantageous. Leadership Attributes: Visionary & Pragmatic: Inspire bold thinking while ensuring execution and impact. Influential & Persuasive: Build trust and drive change without direct authority. Master Facilitator: Create dynamic, engaging environments that surface the best ideas. Agile & Adaptive: Navigate ambiguity and pivot when needed. Data-Driven & Results-Oriented: Quantify success and drive accountability. Growth-Oriented: Foster a growth mindset with a focus on team development and strategic clarity. Collaborative & People-Centered: Prioritize collective success and foster a people-centered approach, emphasizing strong collaboration and co-creation skills with a focus on human-centered design. Compensation Range: Pay Range - Start: $149,380.00 Pay Range - End: $277,420.00 Geographic Specific Pay Structure: 230 - Structure 110: 164,290.00 USD - 305,110.00 USD 230 - Structure 115: 171,780.00 USD - 319,020.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Job Posting End Date: 11/17/2025 The timeline for this job posting may be shortened or extended based on organizational needs. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Nor t hwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:Science,
8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238 CarMax, the way your career should be! About this job At CarMax, a Senior Technology Manager, AI &ML is a key leader in providing reliable and scalable machine-learning capabilities across the organization. The Senior Technology Manager will be responsible for overseeing multiple portfolios of ML and AI capabilities and solutions. In this role you will support managers and their teams of engineers to help prioritize business needs and drive innovative solutions for two teams. One of those teams is focused on Generative AI use cases and helping to accelerate partner teams development using Generative AI. The second that this manager will support is focused on customer journey modeling and guiding CarMax customers through their optimal buying journey by providing predictive inputs at key moments. The ideal candidate will have a passion and understanding of Data Science, Machine Learning and AI and will have the substantial experience in software engineering and cloud engineering that is necessary to turn those models into highly visible, mission-critical capabilities that drive CarMax's iconic customer experience. Essential Responsibilities: Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams' achievements Create the strategic roadmap that will guide the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization Empower your direct reports to lead their teams by providing them with the resources, training, feedback, and a sounding-board to be successful in their roles Develop people through effective communication and ongoing feedback Manage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basis Create an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experience Work through others to deliver resilient and scalable technology solutions that solve for complex business problems Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be Quickly learning the CarMax technology standards and norms and ensuring that your teams follow best practices for change management, security, etc. This role will have on-call expectations to be available for major incidents and issues that affect your team's applications. Minimum Qualifications: Bachelor's Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Optional for sponsorship needs: Master's Degree in Computer Science, Computer Engineering, or relevant technical field 10+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering 5+ years' experience managing direct reports 5+ years' experience with microservices software architecture 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support 5+ years' experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies Demonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the future Proven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellence Proficient in developing in Python Experience with scripting languages such as shell scripts Experience in DevOps practices, testing frameworks, and CI/CD Experience with Model Development and Deployment (MLFlow, Azure ML) Experience with container orchestration (Kubernetes, Docker) Experience communicating and working across functions to drive organization-wide solutions Preferred Qualifications: Previous experience deploying large-scale applications on Azure Familiarity with MLOps and industry-standard machine-learning Python libraries Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services) Advanced AI/ML specializations (reinforcement learning, deep learning, NLP) Proficient in an object-oriented programming language (i.e. C#, Java) Experience using large language models (LLMs) with semantic search frameworks for chatbot implementations Software Specific Qualifications: Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies Proficiency developing and debugging in Python Experience with Model Development and Deployment (MLFlow, Azure ML) Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services) Experience with scripting languages such as shell scripts Experience in DevOps practices, testing frameworks, and CI/CD Proficiency in version control systems (Git) for AI/ML model versioning Experience with container orchestration (Kubernetes, Docker) Work Authorization:Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship willnotbe considered for this specific role. Work Location and Arrangement: This role will be based out of the Richmond, VA Technology Innovation Center and have a Hybrid work arrangement. About CarMax CarMax disrupted the auto industry by delivering the honest, transparent, and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 200 locations nationwide. Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For . Our Commitment to Diversity and Inclusion: CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment. CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application. Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application .
10/04/2025
Full time
8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238 CarMax, the way your career should be! About this job At CarMax, a Senior Technology Manager, AI &ML is a key leader in providing reliable and scalable machine-learning capabilities across the organization. The Senior Technology Manager will be responsible for overseeing multiple portfolios of ML and AI capabilities and solutions. In this role you will support managers and their teams of engineers to help prioritize business needs and drive innovative solutions for two teams. One of those teams is focused on Generative AI use cases and helping to accelerate partner teams development using Generative AI. The second that this manager will support is focused on customer journey modeling and guiding CarMax customers through their optimal buying journey by providing predictive inputs at key moments. The ideal candidate will have a passion and understanding of Data Science, Machine Learning and AI and will have the substantial experience in software engineering and cloud engineering that is necessary to turn those models into highly visible, mission-critical capabilities that drive CarMax's iconic customer experience. Essential Responsibilities: Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams' achievements Create the strategic roadmap that will guide the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization Empower your direct reports to lead their teams by providing them with the resources, training, feedback, and a sounding-board to be successful in their roles Develop people through effective communication and ongoing feedback Manage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basis Create an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experience Work through others to deliver resilient and scalable technology solutions that solve for complex business problems Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be Quickly learning the CarMax technology standards and norms and ensuring that your teams follow best practices for change management, security, etc. This role will have on-call expectations to be available for major incidents and issues that affect your team's applications. Minimum Qualifications: Bachelor's Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Optional for sponsorship needs: Master's Degree in Computer Science, Computer Engineering, or relevant technical field 10+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering 5+ years' experience managing direct reports 5+ years' experience with microservices software architecture 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support 5+ years' experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies Demonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the future Proven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellence Proficient in developing in Python Experience with scripting languages such as shell scripts Experience in DevOps practices, testing frameworks, and CI/CD Experience with Model Development and Deployment (MLFlow, Azure ML) Experience with container orchestration (Kubernetes, Docker) Experience communicating and working across functions to drive organization-wide solutions Preferred Qualifications: Previous experience deploying large-scale applications on Azure Familiarity with MLOps and industry-standard machine-learning Python libraries Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services) Advanced AI/ML specializations (reinforcement learning, deep learning, NLP) Proficient in an object-oriented programming language (i.e. C#, Java) Experience using large language models (LLMs) with semantic search frameworks for chatbot implementations Software Specific Qualifications: Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies Proficiency developing and debugging in Python Experience with Model Development and Deployment (MLFlow, Azure ML) Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services) Experience with scripting languages such as shell scripts Experience in DevOps practices, testing frameworks, and CI/CD Proficiency in version control systems (Git) for AI/ML model versioning Experience with container orchestration (Kubernetes, Docker) Work Authorization:Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship willnotbe considered for this specific role. Work Location and Arrangement: This role will be based out of the Richmond, VA Technology Innovation Center and have a Hybrid work arrangement. About CarMax CarMax disrupted the auto industry by delivering the honest, transparent, and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 200 locations nationwide. Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For . Our Commitment to Diversity and Inclusion: CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment. CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application. Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application .
8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238 CarMax, the way your career should be! About this job At CarMax, a Senior Technology Manager, AI &ML is a key leader in providing reliable and scalable machine-learning capabilities across the organization. The Senior Technology Manager will be responsible for overseeing multiple portfolios of ML and AI capabilities and solutions. In this role you will support managers and their teams of engineers to help prioritize business needs and drive innovative solutions for two teams. One of those teams is focused on Generative AI use cases and helping to accelerate partner teams development using Generative AI. The second that this manager will support is focused on customer journey modeling and guiding CarMax customers through their optimal buying journey by providing predictive inputs at key moments. The ideal candidate will have a passion and understanding of Data Science, Machine Learning and AI and will have the substantial experience in software engineering and cloud engineering that is necessary to turn those models into highly visible, mission-critical capabilities that drive CarMax's iconic customer experience. Essential Responsibilities: Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams' achievements Create the strategic roadmap that will guide the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization Empower your direct reports to lead their teams by providing them with the resources, training, feedback, and a sounding-board to be successful in their roles Develop people through effective communication and ongoing feedback Manage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basis Create an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experience Work through others to deliver resilient and scalable technology solutions that solve for complex business problems Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be Quickly learning the CarMax technology standards and norms and ensuring that your teams follow best practices for change management, security, etc. This role will have on-call expectations to be available for major incidents and issues that affect your team's applications. Minimum Qualifications: Bachelor's Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Optional for sponsorship needs: Master's Degree in Computer Science, Computer Engineering, or relevant technical field 10+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering 5+ years' experience managing direct reports 5+ years' experience with microservices software architecture 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support 5+ years' experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies Demonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the future Proven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellence Proficient in developing in Python Experience with scripting languages such as shell scripts Experience in DevOps practices, testing frameworks, and CI/CD Experience with Model Development and Deployment (MLFlow, Azure ML) Experience with container orchestration (Kubernetes, Docker) Experience communicating and working across functions to drive organization-wide solutions Preferred Qualifications: Previous experience deploying large-scale applications on Azure Familiarity with MLOps and industry-standard machine-learning Python libraries Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services) Advanced AI/ML specializations (reinforcement learning, deep learning, NLP) Proficient in an object-oriented programming language (i.e. C#, Java) Experience using large language models (LLMs) with semantic search frameworks for chatbot implementations Software Specific Qualifications: Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies Proficiency developing and debugging in Python Experience with Model Development and Deployment (MLFlow, Azure ML) Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services) Experience with scripting languages such as shell scripts Experience in DevOps practices, testing frameworks, and CI/CD Proficiency in version control systems (Git) for AI/ML model versioning Experience with container orchestration (Kubernetes, Docker) Work Authorization:Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship willnotbe considered for this specific role. Work Location and Arrangement: This role will be based out of the Richmond, VA Technology Innovation Center and have a Hybrid work arrangement. About CarMax CarMax disrupted the auto industry by delivering the honest, transparent, and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 200 locations nationwide. Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For . Our Commitment to Diversity and Inclusion: CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment. CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application. Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application .
10/03/2025
Full time
8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238 CarMax, the way your career should be! About this job At CarMax, a Senior Technology Manager, AI &ML is a key leader in providing reliable and scalable machine-learning capabilities across the organization. The Senior Technology Manager will be responsible for overseeing multiple portfolios of ML and AI capabilities and solutions. In this role you will support managers and their teams of engineers to help prioritize business needs and drive innovative solutions for two teams. One of those teams is focused on Generative AI use cases and helping to accelerate partner teams development using Generative AI. The second that this manager will support is focused on customer journey modeling and guiding CarMax customers through their optimal buying journey by providing predictive inputs at key moments. The ideal candidate will have a passion and understanding of Data Science, Machine Learning and AI and will have the substantial experience in software engineering and cloud engineering that is necessary to turn those models into highly visible, mission-critical capabilities that drive CarMax's iconic customer experience. Essential Responsibilities: Identify new opportunities for ML and AI solutions and build and cultivate relationships with leaders across the organization to foster those partnerships Influence partners and stakeholders in Data Science and other teams across the organization to prioritize objectives and provide a comprehensive approach to solution recommendations that includes ROI, time to market, scalability as well as alternative recommendations Communicate effectively with senior leadership to share progress, raise any roadblocks or impediments to delivery, and also spread awareness of your teams' achievements Create the strategic roadmap that will guide the direction and goals for the team, both in terms of individual project impacts but also overall standards for machine learning and AI utilization in the organization Empower your direct reports to lead their teams by providing them with the resources, training, feedback, and a sounding-board to be successful in their roles Develop people through effective communication and ongoing feedback Manage the budget of your area including budget planning and estimating costs of future development and tracking spend on an ongoing basis Create an inclusive and engaging culture for a team of remote and hybrid engineers with varying levels of experience Work through others to deliver resilient and scalable technology solutions that solve for complex business problems Help drive the broader understanding of the use of machine learning and AI by interfacing with key roles in Operations, Legal, Security, and Technology Stay on top of industry trends and best practices to continuously improve what we do and ensure our customer experience is the best it can be Quickly learning the CarMax technology standards and norms and ensuring that your teams follow best practices for change management, security, etc. This role will have on-call expectations to be available for major incidents and issues that affect your team's applications. Minimum Qualifications: Bachelor's Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Optional for sponsorship needs: Master's Degree in Computer Science, Computer Engineering, or relevant technical field 10+ years of software-engineering experience in an enterprise-level environment in one or more of the following areas: machine learning/artificial intelligence, cloud computing, systems engineering 5+ years' experience managing direct reports 5+ years' experience with microservices software architecture 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support 5+ years' experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies Demonstrated ability to provide vision for the Cloud Engineering, Software Engineering, and Machine-Learning spaces and inspire teams towards the future Proven ability to strategically prioritize by balancing business delivery and value generating work with technical debt and engineering excellence Proficient in developing in Python Experience with scripting languages such as shell scripts Experience in DevOps practices, testing frameworks, and CI/CD Experience with Model Development and Deployment (MLFlow, Azure ML) Experience with container orchestration (Kubernetes, Docker) Experience communicating and working across functions to drive organization-wide solutions Preferred Qualifications: Previous experience deploying large-scale applications on Azure Familiarity with MLOps and industry-standard machine-learning Python libraries Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services) Advanced AI/ML specializations (reinforcement learning, deep learning, NLP) Proficient in an object-oriented programming language (i.e. C#, Java) Experience using large language models (LLMs) with semantic search frameworks for chatbot implementations Software Specific Qualifications: Experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies Proficiency developing and debugging in Python Experience with Model Development and Deployment (MLFlow, Azure ML) Experience with Azure AI services (Azure Machine Learning, Azure Cognitive Services) Experience with scripting languages such as shell scripts Experience in DevOps practices, testing frameworks, and CI/CD Proficiency in version control systems (Git) for AI/ML model versioning Experience with container orchestration (Kubernetes, Docker) Work Authorization:Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship willnotbe considered for this specific role. Work Location and Arrangement: This role will be based out of the Richmond, VA Technology Innovation Center and have a Hybrid work arrangement. About CarMax CarMax disrupted the auto industry by delivering the honest, transparent, and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation's largest retailer of used cars, with over 200 locations nationwide. Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For . Our Commitment to Diversity and Inclusion: CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment. CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application. Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application .
Senior Data Management Professional - Data Quality - Data AI Location New York Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients. Our Team: Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. This way, our clients will continue to have high quality data and access to new types of datasets. What's the Role? A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today. The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence. We'll trust you to: Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose. Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager. Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality. Apply domain expertise to inform annotation decisions and ensure high-quality outputs. Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation. Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches. Lead on problem-solving to resolve complex annotation challenges and ensure data quality. Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news. Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators. You'll need to have: A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields. A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling. Experience using data visualization tools such as Tableau or Qlik Sense. Past project/experience analyzing financial datasets or proven past experience working on financial market concepts. Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL. Extensive experience in communicating results in a clear, concise manner using data visualization tools. Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems. We'd Love to See: Keen interest and familiarity with generative AI frameworks. Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.) Keen interest and familiarity with generative AI frameworks. Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection. Past project experience using the Agile/Scrum project management methodology. Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know next steps! Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
10/03/2025
Full time
Senior Data Management Professional - Data Quality - Data AI Location New York Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients. Our Team: Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. We encourage our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. This way, our clients will continue to have high quality data and access to new types of datasets. What's the Role? A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today. The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence. We'll trust you to: Create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose. Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project manager. Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality. Apply domain expertise to inform annotation decisions and ensure high-quality outputs. Review and further enhance annotation guidelines, and promote the development of standard processes in data annotation. Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches. Lead on problem-solving to resolve complex annotation challenges and ensure data quality. Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news. Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators. You'll need to have: A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields. A minimum of four years of demonstrated experience in data management concepts such as data quality, random sampling and data modeling. Experience using data visualization tools such as Tableau or Qlik Sense. Past project/experience analyzing financial datasets or proven past experience working on financial market concepts. Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL. Extensive experience in communicating results in a clear, concise manner using data visualization tools. Demonstrated ability taking a logical approach and applying critical thinking skills in order to solve problems. We'd Love to See: Keen interest and familiarity with generative AI frameworks. Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.) Keen interest and familiarity with generative AI frameworks. Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection. Past project experience using the Agile/Scrum project management methodology. Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know next steps! Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Are you passionate about building BIM solutions for the Architecture, Engineering, Construction (AEC) industry supercharged by the latest Generative AI technology? If so, come build with us! The AWS Data Center Design Engineering - BIM Technology team is on a mission to innovate through new Building Information Modeling (BIM) and GenAI services that will enable our team and customers to design, build, and operate our worldwide data centers facilities better and faster. Our initiatives are in a very nascent space, where you will be able to Think Big, prototype, and innovate on behalf of customers in a start-up like environment. Amazon's data centers are industry-leading examples of innovation in the areas of space utilization, energy efficiency, and cost effectiveness. We are known for our speed to market and reliability. We are part of the global team responsible for the design and operation of critical industry-leading data center facilities. Our team is on the forefront of creating and delivering the most innovative products to our customers; and are known for being a diverse and upbeat team that is changing the face of cloud computing. We continue to grow and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. At Amazon we do highly support continued learning opportunities and focus on continued employee development. Our team owns the implementation, adoption, and maintenance of new disruptive and innovative Building Information Modeling (BIM) and GenAI technologies, both first-party and third-party, that support the design, construction, and operation of Amazon-owned data center facilities globally. We are looking for a talented Senior BIM Solutions Engineer who is passionate about driving innovation in the Architecture, Engineering, Construction (AEC) industry through the power of Building Information Modeling (BIM) and Generative AI technologies. As a senior member of our team, you will be responsible for shaping the long-term technical strategy and architecture for our disruptive BIM and GenAI solutions. You will work closely with business partners to design, implement and launch new BIM-powered products and services that support the design, construction and operation of Amazon's global data center facilities. The ideal candidate will possess deep expertise in developing secure, scalable BIM software solutions, ideally in the context of the AEC industry. You should have a proven track record of leading the architecture, design and implementation of highly available, distributed systems. Strong technical skills are a must, but you'll also need to demonstrate your ability to dive deep, define product strategy, and drive change across medium to large engineering initiatives. This is a unique opportunity to blend your BIM solutions engineering prowess with a customer-obsessed, innovative mindset. You'll navigate ambiguity, champion bold ideas, and deliver impactful solutions that streamline and transform our data center engineering capabilities. If you're driven by a growth mindset, insatiably curious, and passionate about solving complex challenges, we want to hear from you. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities - Serve as a technical lead on our most demanding, cross-functional BIM and GenAI projects. - Translate functional requirements into robust, scalable, supportable solutions that work well within the internal landscape of BIM systems. - Architect cloud-native solutions for BIM implementation, focusing on scalability and integration with AWS services. - Lead the digital transformation of BIM workflows through cloud technologies and automation. - Design and implement cloud-based BIM data management and collaboration platforms. - Manage AI/ML initiatives for automated BIM analysis and optimization. - Drive security reviews and compliance for BIM systems in cloud environments. - Develop technical solutions, including infrastructure-as-code, for BIM deployment and management. - Create API integrations between cloud services and BIM platforms. - Participate in the full BIM development cycle, end-to-end, from design, development, implementation, and testing to documentation, delivery, and maintenance of large-scale distributed BIM technology solutions, including software applications, tools, systems, and services, both first-party and third-party. - Be a member of the Amazon-wide Software Development Community, participating in internal and external Meetups, Hackathons and Conferences. - Mentor and guide junior members of the technical team on design, coding, troubleshooting and operational excellence for BIM systems and solutions. BASIC QUALIFICATIONS - 7+ years experience with BIM technologies (Autodesk Platform Services, Revit, BIM360/ACC, or similar). - 7+ years experience architecting cloud infrastructure solutions. - 7+ years experience with BIM APIs and SDKs, developing custom BIM integrations with third-party APIs like Autodesk Platform Services, and with BIM software development with at least one programming language. Experience as a mentor, tech lead or leading an engineering team. PREFERRED QUALIFICATIONS - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience. - Experience building software on AWS. - Experience implementing Artificial Intelligence solutions, with focus on Deep Learning and Generative AI. - Bachelor's degree in STEM (science, technology, engineering and mathematics). Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
10/03/2025
Full time
Are you passionate about building BIM solutions for the Architecture, Engineering, Construction (AEC) industry supercharged by the latest Generative AI technology? If so, come build with us! The AWS Data Center Design Engineering - BIM Technology team is on a mission to innovate through new Building Information Modeling (BIM) and GenAI services that will enable our team and customers to design, build, and operate our worldwide data centers facilities better and faster. Our initiatives are in a very nascent space, where you will be able to Think Big, prototype, and innovate on behalf of customers in a start-up like environment. Amazon's data centers are industry-leading examples of innovation in the areas of space utilization, energy efficiency, and cost effectiveness. We are known for our speed to market and reliability. We are part of the global team responsible for the design and operation of critical industry-leading data center facilities. Our team is on the forefront of creating and delivering the most innovative products to our customers; and are known for being a diverse and upbeat team that is changing the face of cloud computing. We continue to grow and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning. Amazon's work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. At Amazon we do highly support continued learning opportunities and focus on continued employee development. Our team owns the implementation, adoption, and maintenance of new disruptive and innovative Building Information Modeling (BIM) and GenAI technologies, both first-party and third-party, that support the design, construction, and operation of Amazon-owned data center facilities globally. We are looking for a talented Senior BIM Solutions Engineer who is passionate about driving innovation in the Architecture, Engineering, Construction (AEC) industry through the power of Building Information Modeling (BIM) and Generative AI technologies. As a senior member of our team, you will be responsible for shaping the long-term technical strategy and architecture for our disruptive BIM and GenAI solutions. You will work closely with business partners to design, implement and launch new BIM-powered products and services that support the design, construction and operation of Amazon's global data center facilities. The ideal candidate will possess deep expertise in developing secure, scalable BIM software solutions, ideally in the context of the AEC industry. You should have a proven track record of leading the architecture, design and implementation of highly available, distributed systems. Strong technical skills are a must, but you'll also need to demonstrate your ability to dive deep, define product strategy, and drive change across medium to large engineering initiatives. This is a unique opportunity to blend your BIM solutions engineering prowess with a customer-obsessed, innovative mindset. You'll navigate ambiguity, champion bold ideas, and deliver impactful solutions that streamline and transform our data center engineering capabilities. If you're driven by a growth mindset, insatiably curious, and passionate about solving complex challenges, we want to hear from you. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities - Serve as a technical lead on our most demanding, cross-functional BIM and GenAI projects. - Translate functional requirements into robust, scalable, supportable solutions that work well within the internal landscape of BIM systems. - Architect cloud-native solutions for BIM implementation, focusing on scalability and integration with AWS services. - Lead the digital transformation of BIM workflows through cloud technologies and automation. - Design and implement cloud-based BIM data management and collaboration platforms. - Manage AI/ML initiatives for automated BIM analysis and optimization. - Drive security reviews and compliance for BIM systems in cloud environments. - Develop technical solutions, including infrastructure-as-code, for BIM deployment and management. - Create API integrations between cloud services and BIM platforms. - Participate in the full BIM development cycle, end-to-end, from design, development, implementation, and testing to documentation, delivery, and maintenance of large-scale distributed BIM technology solutions, including software applications, tools, systems, and services, both first-party and third-party. - Be a member of the Amazon-wide Software Development Community, participating in internal and external Meetups, Hackathons and Conferences. - Mentor and guide junior members of the technical team on design, coding, troubleshooting and operational excellence for BIM systems and solutions. BASIC QUALIFICATIONS - 7+ years experience with BIM technologies (Autodesk Platform Services, Revit, BIM360/ACC, or similar). - 7+ years experience architecting cloud infrastructure solutions. - 7+ years experience with BIM APIs and SDKs, developing custom BIM integrations with third-party APIs like Autodesk Platform Services, and with BIM software development with at least one programming language. Experience as a mentor, tech lead or leading an engineering team. PREFERRED QUALIFICATIONS - 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience. - Experience building software on AWS. - Experience implementing Artificial Intelligence solutions, with focus on Deep Learning and Generative AI. - Bachelor's degree in STEM (science, technology, engineering and mathematics). Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Technical Product Manager - Generative AI Solutions for Bloomberg Terminal Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg is a leading provider of financial data, news, and analytics, serving the world's financial community through the Bloomberg Terminal, a powerful platform that connects decision-makers to a dynamic network of information, people, and ideas. The Bloomberg CTO Office is the future-looking technical arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware and applications that interface in all aspects of the company including financial products, broadcast and media, data centers, internal IT and our global network. We are passionate about what we do. What's In It For You We are seeking a passionate and driven Technical Product Manager to join our team focused on revolutionizing the Bloomberg Terminal experience with cutting-edge generative AI solutions. In this role, you will define and execute the product strategy and roadmap for AI-powered features that empower our users to make faster, smarter, and more informed decisions. You will achieve this by fostering strong collaboration across diverse teams to bring innovative solutions to life. We'll trust you to Deeply Understand User Needs: Conduct thorough user research, leveraging domain product owners, subject-matter experts, client interviews, and data analysis to identify unmet needs and opportunities for generative AI to enhance the Bloomberg Terminal experience. Drive Product Strategy: Help define the vision, strategy, and roadmap for Bloomberg's conversational, generative AI solutions, ensuring alignment with Bloomberg's overall product strategy and business objectives. Align Cross-functional Teams: Work closely with Product and UX teams to translate user needs into detailed product specifications and prioritize development efforts with Engineering. Build consensus with multiple teams across Product, CTO, Data, and Engineering to deliver user-centric, multi-faceted solutions. Champion Product Quality: Establish rigorous quality assurance processes and metrics to ensure the accuracy, reliability, and performance of AI-powered features. Monitor and Analyze Performance: Track key performance indicators (KPIs) related to product adoption, user engagement, and client satisfaction to measure the success of generative AI solutions and identify areas for improvement. Stay Ahead of the Curve: Continuously monitor advancements in generative AI and related technologies to identify new opportunities and maintain Bloomberg's competitive advantage. You'll need to have 5+ years of experience in product management, with a proven track record of delivering successful data-driven products A demonstrated ability to quickly grasp complex domains (analogous to finance) to uncover nuanced client needs Knowledge of generative AI concepts, capabilities, and limitations, and in general machine learning (ML) and natural language processing (NLP) technologies Excellent communication, interpersonal, and stakeholder management skills Bachelor's degree or higher in a relevant field (e.g., Product Management, Computer Science, UX, Finance) We'd love to see Prior experience in delivering genAI-based experiences and applications successfully, including across desktop and mobile platforms Familiarity with shared ownership and collaboration required to deliver products in large tech organizations Strong understanding of the financial domain and the needs of Bloomberg Terminal users Proficiency in data analysis and visualization tools (e.g., Python/R, SQL, Tableau/Power BI) Salary Range = 140000 - 295000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
10/02/2025
Full time
Technical Product Manager - Generative AI Solutions for Bloomberg Terminal Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg is a leading provider of financial data, news, and analytics, serving the world's financial community through the Bloomberg Terminal, a powerful platform that connects decision-makers to a dynamic network of information, people, and ideas. The Bloomberg CTO Office is the future-looking technical arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware and applications that interface in all aspects of the company including financial products, broadcast and media, data centers, internal IT and our global network. We are passionate about what we do. What's In It For You We are seeking a passionate and driven Technical Product Manager to join our team focused on revolutionizing the Bloomberg Terminal experience with cutting-edge generative AI solutions. In this role, you will define and execute the product strategy and roadmap for AI-powered features that empower our users to make faster, smarter, and more informed decisions. You will achieve this by fostering strong collaboration across diverse teams to bring innovative solutions to life. We'll trust you to Deeply Understand User Needs: Conduct thorough user research, leveraging domain product owners, subject-matter experts, client interviews, and data analysis to identify unmet needs and opportunities for generative AI to enhance the Bloomberg Terminal experience. Drive Product Strategy: Help define the vision, strategy, and roadmap for Bloomberg's conversational, generative AI solutions, ensuring alignment with Bloomberg's overall product strategy and business objectives. Align Cross-functional Teams: Work closely with Product and UX teams to translate user needs into detailed product specifications and prioritize development efforts with Engineering. Build consensus with multiple teams across Product, CTO, Data, and Engineering to deliver user-centric, multi-faceted solutions. Champion Product Quality: Establish rigorous quality assurance processes and metrics to ensure the accuracy, reliability, and performance of AI-powered features. Monitor and Analyze Performance: Track key performance indicators (KPIs) related to product adoption, user engagement, and client satisfaction to measure the success of generative AI solutions and identify areas for improvement. Stay Ahead of the Curve: Continuously monitor advancements in generative AI and related technologies to identify new opportunities and maintain Bloomberg's competitive advantage. You'll need to have 5+ years of experience in product management, with a proven track record of delivering successful data-driven products A demonstrated ability to quickly grasp complex domains (analogous to finance) to uncover nuanced client needs Knowledge of generative AI concepts, capabilities, and limitations, and in general machine learning (ML) and natural language processing (NLP) technologies Excellent communication, interpersonal, and stakeholder management skills Bachelor's degree or higher in a relevant field (e.g., Product Management, Computer Science, UX, Finance) We'd love to see Prior experience in delivering genAI-based experiences and applications successfully, including across desktop and mobile platforms Familiarity with shared ownership and collaboration required to deliver products in large tech organizations Strong understanding of the financial domain and the needs of Bloomberg Terminal users Proficiency in data analysis and visualization tools (e.g., Python/R, SQL, Tableau/Power BI) Salary Range = 140000 - 295000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Senior Data Management Professional - Data Engineering Location New York Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team: The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings. What's the Role? A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today. The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence. We'll trust you to: Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose. Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator. Collaborate on database schema design and configure ETL pipelines to onboard new data sets. Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality. Apply domain expertise to inform annotation decisions and ensure high-quality outputs. Review and further improve annotation guidelines, and promote the development of standard processes in data annotation. Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches. Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality. Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news. Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators. You'll need to have: A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields. A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling. Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R. Experience using data visualization tools such as Tableau, Qlik Sense or Splunk. Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts. Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product. Extensive experience in communicating results in a clear, concise manner using data visualization tools. Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems. We'd Love to See: DAMA CDMP or DCAM certifications. Keen interest and familiarity with generative AI frameworks. Understanding of the importance of high quality annotations. Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products. Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection. Past project experience using the Agile/Scrum project management methodology. Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know next steps! Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
10/02/2025
Full time
Senior Data Management Professional - Data Engineering Location New York Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. Our Team: The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings. What's the Role? A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today. The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence. We'll trust you to: Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose. Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator. Collaborate on database schema design and configure ETL pipelines to onboard new data sets. Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality. Apply domain expertise to inform annotation decisions and ensure high-quality outputs. Review and further improve annotation guidelines, and promote the development of standard processes in data annotation. Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches. Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality. Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news. Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators. You'll need to have: A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields. A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling. Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R. Experience using data visualization tools such as Tableau, Qlik Sense or Splunk. Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts. Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product. Extensive experience in communicating results in a clear, concise manner using data visualization tools. Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems. We'd Love to See: DAMA CDMP or DCAM certifications. Keen interest and familiarity with generative AI frameworks. Understanding of the importance of high quality annotations. Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products. Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection. Past project experience using the Agile/Scrum project management methodology. Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know next steps! Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Position Summary Genmab is seeking a dynamic and experienced Senior Manager, Veeva CRM / Salesforce Developer & Admin to join our growing Data, Digital & AI (DD&AI) organization. Genmab is transitioning to a hub-and-spoke commercialization model and seeking a seasoned Senior Manager, Veeva / Salesforce CRM Developer & Admin to design and govern the framework that empowers business "spokes" via a centralized platform "hub." Sitting at the intersection of technology, business, and patient impact, you will be the strategic-and hands-on-guardian of Genmab's CRM and allied commercialization platforms, ensuring field and home-office teams deliver remarkable experiences to healthcare professionals (HCPs) and patients. You will serve as the technical and strategic owner of Genmab's CRM platform-crafting and executing a bold, forward-thinking roadmap. You will ensure our platforms are scalable, compliant, integrated, and insights-driven to support both field operations and internal teams across global markets. This role is based out of our Princeton office and requires for you to be on site 60% of the time Core Duties : Own the end-to-end technical architecture for Veeva CRM (Online/ iRep /Engage) and multi-cloud Salesforce Life Science Cloud . Produce and maintain a living solution blueprint covering data models, integration patterns (API-first, event-driven), security controls, and GxP /21 CFR Part 11 compliance. Align architecture with downstream data-platforms (Snowflake, Reltio MDM, AWS) and enterprise identity management systems. Lead configuration of Veeva modules ( Account Management, Call Reporting, CLM, Events Management, Approved Emails, Surveys, Medical Inquiry ) and Salesforce features (Flows, Declarative Sharing, Apex ). Templatized C onfiguration using Copado for Veeva CRM to ensure repeatable deployments across regions. Drive hands-on custom development : Apex services, Lightning Web Components, Platform Events, Visualforce, Veeva MyInsights dashboards, and integration micro-services. Enforce clean code practices and maintain 85 % automated test coverage. Design and operate CI/CD pipelines (GitLab CI, SFDX, Copado, Tricentis /Tosca) for version-controlled, GxP -validated releases across Sandboxes, SIT, UAT, and Production. Orchestrate deployments and rollback strategies; champion DevSecOps and Infrastructure-as-Code for middleware (Informatica). Own the multi-year CRM vision and roadmap, aligning with DD &AI strategy. Drive platform governance, standardization, and best practices across global markets. Translate complex business requirements into scalable technical solutions. Partner with Commercial, Medical Affairs, and Data teams to surface insights and streamline field workflows. Mentor and lead a diverse, high-performing team of admins, developers, and analysts. Manage budgets, cost-benefit analyses, and platform KPIs to demonstrate value. Scout, prototype, and operationalize emerging technologies-generative-AI, predictive analytics, conversational bots-across Salesforce and Veeva to elevate HCP engagement and field productivity. Lead rapid proof-of-concepts ( 12 weeks) with Data Science teams to test use-cases such as AI call-note summarization, smart segmentation, and next-best-action recommendations. Establish an innovation backlog and governance model to funnel successful pilots into the main CI/CD release train while ensuring privacy, ethical-AI, and GxP compliance. Required Qualifications Experience: 8+ years overall in CRM; 3+ years as a Salesforce /Veeva admin-developer in life-sciences (pharma/biotech) commercial & medical domains. Education: Bachelor's in computer science , Engineering, or related field ( Master's preferred). Certifications: Salesforce Administrator or Developer (mandatory); Veeva CRM Admin or equivalent (preferred). Technical Expertise: Advanced configuration/development (Apex, Flows, Visualforce, LWC, Triggers). Proven leadership of multi-cloud Salesforce implementations. DevSecOps & CI/CD (SFDX, GitLab) and automated testing frameworks (Copado, Tricentis ). API-first integration design with middleware and data ecosystems. Domain Knowledge: Life Science Commercial and Medical Operations for US and EU and Japan, Oncology launch and EU commercial experience desirable; deep understanding of 21 CFR Part 11, GDPR, Sunshine/Open Payments. Soft Skills: Exceptional leadership, stakeholder-management, and negotiation abilities; Preferred Skills & Attributes Master's degree in Computer Science , Information Systems. Familiarity with GxP compliance and European data-privacy regulations. Demonstrated success improving field productivity, data quality, and customer insight. Strong financial acumen (budgeting, cost-benefit, risk management). Comfort able operating in global, customer-facing environments with diverse stakeholders. For US based candidates, the proposed salary band for this position is as follows: $131,440.00 $197,160.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses About You You are genuinely passionate about our purpose You bring precision and excellence to all that you do You believe in our rooted-in-science approach to problem-solving You are a generous collaborator who can work in teams with a broad spectrum of backgrounds You take pride in enabling the best work of others on the team You can grapple with the unknown and be innovative You have experience working in a fast-growing, dynamic company (or a strong desire to) You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you're in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit and follow us on LinkedIn and X. Genmab is committed to protecting your personal data and privacy . click apply for full job details
10/02/2025
Full time
At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Position Summary Genmab is seeking a dynamic and experienced Senior Manager, Veeva CRM / Salesforce Developer & Admin to join our growing Data, Digital & AI (DD&AI) organization. Genmab is transitioning to a hub-and-spoke commercialization model and seeking a seasoned Senior Manager, Veeva / Salesforce CRM Developer & Admin to design and govern the framework that empowers business "spokes" via a centralized platform "hub." Sitting at the intersection of technology, business, and patient impact, you will be the strategic-and hands-on-guardian of Genmab's CRM and allied commercialization platforms, ensuring field and home-office teams deliver remarkable experiences to healthcare professionals (HCPs) and patients. You will serve as the technical and strategic owner of Genmab's CRM platform-crafting and executing a bold, forward-thinking roadmap. You will ensure our platforms are scalable, compliant, integrated, and insights-driven to support both field operations and internal teams across global markets. This role is based out of our Princeton office and requires for you to be on site 60% of the time Core Duties : Own the end-to-end technical architecture for Veeva CRM (Online/ iRep /Engage) and multi-cloud Salesforce Life Science Cloud . Produce and maintain a living solution blueprint covering data models, integration patterns (API-first, event-driven), security controls, and GxP /21 CFR Part 11 compliance. Align architecture with downstream data-platforms (Snowflake, Reltio MDM, AWS) and enterprise identity management systems. Lead configuration of Veeva modules ( Account Management, Call Reporting, CLM, Events Management, Approved Emails, Surveys, Medical Inquiry ) and Salesforce features (Flows, Declarative Sharing, Apex ). Templatized C onfiguration using Copado for Veeva CRM to ensure repeatable deployments across regions. Drive hands-on custom development : Apex services, Lightning Web Components, Platform Events, Visualforce, Veeva MyInsights dashboards, and integration micro-services. Enforce clean code practices and maintain 85 % automated test coverage. Design and operate CI/CD pipelines (GitLab CI, SFDX, Copado, Tricentis /Tosca) for version-controlled, GxP -validated releases across Sandboxes, SIT, UAT, and Production. Orchestrate deployments and rollback strategies; champion DevSecOps and Infrastructure-as-Code for middleware (Informatica). Own the multi-year CRM vision and roadmap, aligning with DD &AI strategy. Drive platform governance, standardization, and best practices across global markets. Translate complex business requirements into scalable technical solutions. Partner with Commercial, Medical Affairs, and Data teams to surface insights and streamline field workflows. Mentor and lead a diverse, high-performing team of admins, developers, and analysts. Manage budgets, cost-benefit analyses, and platform KPIs to demonstrate value. Scout, prototype, and operationalize emerging technologies-generative-AI, predictive analytics, conversational bots-across Salesforce and Veeva to elevate HCP engagement and field productivity. Lead rapid proof-of-concepts ( 12 weeks) with Data Science teams to test use-cases such as AI call-note summarization, smart segmentation, and next-best-action recommendations. Establish an innovation backlog and governance model to funnel successful pilots into the main CI/CD release train while ensuring privacy, ethical-AI, and GxP compliance. Required Qualifications Experience: 8+ years overall in CRM; 3+ years as a Salesforce /Veeva admin-developer in life-sciences (pharma/biotech) commercial & medical domains. Education: Bachelor's in computer science , Engineering, or related field ( Master's preferred). Certifications: Salesforce Administrator or Developer (mandatory); Veeva CRM Admin or equivalent (preferred). Technical Expertise: Advanced configuration/development (Apex, Flows, Visualforce, LWC, Triggers). Proven leadership of multi-cloud Salesforce implementations. DevSecOps & CI/CD (SFDX, GitLab) and automated testing frameworks (Copado, Tricentis ). API-first integration design with middleware and data ecosystems. Domain Knowledge: Life Science Commercial and Medical Operations for US and EU and Japan, Oncology launch and EU commercial experience desirable; deep understanding of 21 CFR Part 11, GDPR, Sunshine/Open Payments. Soft Skills: Exceptional leadership, stakeholder-management, and negotiation abilities; Preferred Skills & Attributes Master's degree in Computer Science , Information Systems. Familiarity with GxP compliance and European data-privacy regulations. Demonstrated success improving field productivity, data quality, and customer insight. Strong financial acumen (budgeting, cost-benefit, risk management). Comfort able operating in global, customer-facing environments with diverse stakeholders. For US based candidates, the proposed salary band for this position is as follows: $131,440.00 $197,160.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses About You You are genuinely passionate about our purpose You bring precision and excellence to all that you do You believe in our rooted-in-science approach to problem-solving You are a generous collaborator who can work in teams with a broad spectrum of backgrounds You take pride in enabling the best work of others on the team You can grapple with the unknown and be innovative You have experience working in a fast-growing, dynamic company (or a strong desire to) You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you're in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit and follow us on LinkedIn and X. Genmab is committed to protecting your personal data and privacy . click apply for full job details
Integrity Marketing Shared Services Center
Dallas, Texas
About Us Integrity is an omnichannel insurtech company innovating insurance with a singular purpose: making insurance simpler and more human, so everyone can plan for the good days ahead! With billions in funding from HGGC, Harvest Partner, SilverLake, we leverage techniques that include predictive modeling, custom dynamic dashboards, next- best-action and behavior triggers, as well as other cutting-edge methods like natural language processing (NLP) to inform decision-making and streamline processes. Integrity has experienced significant growth in the past three years, increasing earnings more than 800%. We are an employee owned company, and are also incredibly proud of our women in leadership, from our C-Suite executives to our managing partners and more (women also make up 63% of our workforce!) We recognize the importance of having equal representation throughout our organization - and that starts at the top! Job Summary Join a dynamic and fast-paced environment where technology drives innovation in the insurance industry. As an omnichannel Insurtech company, we believe work should be meaningful, impactful, and enjoyable. You'll be working on one of the most exciting data and technology opportunities in the country while helping to change lives, including your own. The Director of AI & ML is a senior leadership role responsible for defining and executing the organization's enterprise-wide Artificial Intelligence (AI) strategy. This role will oversee the development, integration, and scaling of AI and machine learning (ML) initiatives to drive operational efficiency, business innovation, and competitive advantage across Integrity. The ideal candidate combines deep technical expertise with strategic acumen and the ability to collaborate across departments to ensure AI initiatives are aligned with business goals. Responsibilities Strategic Leadership: Define and lead the organization's enterprise AI strategy, aligned with broader digital transformation objectives. Identify, prioritize, and champion high-impact AI use cases across various business functions (e.g., technology, sales, distribution, operations, finance, marketing, risk). Drive AI adoption and digital innovation, transforming data into actionable insights and business outcomes. Collaborate with executive leadership to develop AI-driven business models and solutions. Program Oversight & Execution: Oversee a portfolio of AI/ML initiatives, from proof-of-concept to production at scale. Ensure proper governance, compliance, risk management, and ethical AI practices. Establish KPIs and success metrics to monitor the effectiveness and ROI of AI initiatives. Manage vendor relationships, including cloud providers, AI platforms, and consulting partners. Team Leadership & Talent Development: Build, lead, and mentor a high-performing team of data scientists, ML engineers, AI product managers, and analysts. Foster a culture of experimentation, agility, and responsible innovation. Support internal education and AI literacy across the enterprise to empower departments to leverage AI effectively. Architecture, Data & Technology: Partner with Data Engineering, IT, and Architecture teams to ensure scalable AI infrastructure, data pipelines, and model deployment frameworks. Champion the adoption of MLOps, responsible AI principles, and reusable AI assets and platforms. Keep abreast of emerging AI trends and technologies and evaluate their applicability to the business. Position Requirements (Knowledge, Skills, and Abilities) 10+ years of experience in Data platforms, AI, ML, or advanced analytics, with at least 5 years in a senior leadership or enterprise strategy role. Proven track record of delivering AI solutions that drive measurable business value. Experience working with cloud platforms (e.g., Azure, Snowflake, Databricks), AI/ML tools (e.g., PySpark, Ragas, mlflow, LangChain, etc), and enterprise data platforms. Deep understanding of AI/ML techniques (supervised/unsupervised learning, NLP, deep learning, generative AI). Strong knowledge of enterprise IT, data governance, architecture, and security standards. Exceptional communication and influence skills, with the ability to present complex topics to executive and non-technical audiences. Strategic thinker with strong business acumen and a collaborative mindset. Preferred Experience: Experience implementing Responsible AI frameworks or working within regulated industries (e.g., healthcare, finance, insurance). Familiarity with AI compliance (e.g., GDPR, CPRA) and explainable AI practices. Background in integrating generative AI solutions (e.g., large language models) in enterprise & sales workflows. About Integrity Integrity is one of the nation's leading independent distributors of life, health and wealth insurance products. With a strong insurtech focus, we embrace a broad and innovative approach to serving agents and clients alike. Integrity is driven by a singular purpose: to help people protect their life, health and wealth so they can prepare for the good days ahead. Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At Integrity, you can start a new career path at company you'll love, and we'll love you back. We're proud of the work we do and the culture we've built, where we celebrate your hard work and support you daily. Joining us means being part of a hyper-growth company with tons of professional opportunities for you to accelerate your career. Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind. Headquartered in Dallas, Texas, Integrity is committed to meeting Americans wherever they are - in person, over the phone or online. Integrity's employees support hundreds of thousands of independent agents who serve the needs of millions of clients nationwide. For more information, visit . Integrity, LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Integrity, LLC will provide reasonable accommodations for qualified individuals with disabilities. PandoLogic. Category:Science,
10/01/2025
Full time
About Us Integrity is an omnichannel insurtech company innovating insurance with a singular purpose: making insurance simpler and more human, so everyone can plan for the good days ahead! With billions in funding from HGGC, Harvest Partner, SilverLake, we leverage techniques that include predictive modeling, custom dynamic dashboards, next- best-action and behavior triggers, as well as other cutting-edge methods like natural language processing (NLP) to inform decision-making and streamline processes. Integrity has experienced significant growth in the past three years, increasing earnings more than 800%. We are an employee owned company, and are also incredibly proud of our women in leadership, from our C-Suite executives to our managing partners and more (women also make up 63% of our workforce!) We recognize the importance of having equal representation throughout our organization - and that starts at the top! Job Summary Join a dynamic and fast-paced environment where technology drives innovation in the insurance industry. As an omnichannel Insurtech company, we believe work should be meaningful, impactful, and enjoyable. You'll be working on one of the most exciting data and technology opportunities in the country while helping to change lives, including your own. The Director of AI & ML is a senior leadership role responsible for defining and executing the organization's enterprise-wide Artificial Intelligence (AI) strategy. This role will oversee the development, integration, and scaling of AI and machine learning (ML) initiatives to drive operational efficiency, business innovation, and competitive advantage across Integrity. The ideal candidate combines deep technical expertise with strategic acumen and the ability to collaborate across departments to ensure AI initiatives are aligned with business goals. Responsibilities Strategic Leadership: Define and lead the organization's enterprise AI strategy, aligned with broader digital transformation objectives. Identify, prioritize, and champion high-impact AI use cases across various business functions (e.g., technology, sales, distribution, operations, finance, marketing, risk). Drive AI adoption and digital innovation, transforming data into actionable insights and business outcomes. Collaborate with executive leadership to develop AI-driven business models and solutions. Program Oversight & Execution: Oversee a portfolio of AI/ML initiatives, from proof-of-concept to production at scale. Ensure proper governance, compliance, risk management, and ethical AI practices. Establish KPIs and success metrics to monitor the effectiveness and ROI of AI initiatives. Manage vendor relationships, including cloud providers, AI platforms, and consulting partners. Team Leadership & Talent Development: Build, lead, and mentor a high-performing team of data scientists, ML engineers, AI product managers, and analysts. Foster a culture of experimentation, agility, and responsible innovation. Support internal education and AI literacy across the enterprise to empower departments to leverage AI effectively. Architecture, Data & Technology: Partner with Data Engineering, IT, and Architecture teams to ensure scalable AI infrastructure, data pipelines, and model deployment frameworks. Champion the adoption of MLOps, responsible AI principles, and reusable AI assets and platforms. Keep abreast of emerging AI trends and technologies and evaluate their applicability to the business. Position Requirements (Knowledge, Skills, and Abilities) 10+ years of experience in Data platforms, AI, ML, or advanced analytics, with at least 5 years in a senior leadership or enterprise strategy role. Proven track record of delivering AI solutions that drive measurable business value. Experience working with cloud platforms (e.g., Azure, Snowflake, Databricks), AI/ML tools (e.g., PySpark, Ragas, mlflow, LangChain, etc), and enterprise data platforms. Deep understanding of AI/ML techniques (supervised/unsupervised learning, NLP, deep learning, generative AI). Strong knowledge of enterprise IT, data governance, architecture, and security standards. Exceptional communication and influence skills, with the ability to present complex topics to executive and non-technical audiences. Strategic thinker with strong business acumen and a collaborative mindset. Preferred Experience: Experience implementing Responsible AI frameworks or working within regulated industries (e.g., healthcare, finance, insurance). Familiarity with AI compliance (e.g., GDPR, CPRA) and explainable AI practices. Background in integrating generative AI solutions (e.g., large language models) in enterprise & sales workflows. About Integrity Integrity is one of the nation's leading independent distributors of life, health and wealth insurance products. With a strong insurtech focus, we embrace a broad and innovative approach to serving agents and clients alike. Integrity is driven by a singular purpose: to help people protect their life, health and wealth so they can prepare for the good days ahead. Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At Integrity, you can start a new career path at company you'll love, and we'll love you back. We're proud of the work we do and the culture we've built, where we celebrate your hard work and support you daily. Joining us means being part of a hyper-growth company with tons of professional opportunities for you to accelerate your career. Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind. Headquartered in Dallas, Texas, Integrity is committed to meeting Americans wherever they are - in person, over the phone or online. Integrity's employees support hundreds of thousands of independent agents who serve the needs of millions of clients nationwide. For more information, visit . Integrity, LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Integrity, LLC will provide reasonable accommodations for qualified individuals with disabilities. PandoLogic. Category:Science,
Quant Researcher - Agentic AI Location New York Business Area Engineering and CTO Ref # Description & Requirements Who we are: The Bloomberg CTO Office is the future-looking technical arm of Bloomberg L.P. We envision, design and prototype the next generation infrastructure, hardware and applications that interface in all aspects of the company including financial products, broadcast and media, data centers, internal IT and our global network. We are passionate about what we do. What we do: BQuant is Bloomberg's cloud-hosted quantitative investment research platform, built on JupyterLab and designed specifically for financial markets. As the centralized BQuant Research team, we drive product innovation through cutting-edge research in generative AI, agentic workflows, machine learning, NLP, and quantitative finance. We work across asset classes and market domains to prototype next-generation solutions for buy-side and sell-side institutions (hedge funds, asset managers, and investment banks). Our mission is to help clients accelerate their research, portfolio decisions, and trade execution by leveraging the unique combination of Bloomberg's financial datasets, advanced ML/AI, and domain expertise. We work at the forefront of AI in capital markets - tackling challenges in equity, fixed income, macro, and multi-asset workflows. Our team operates in a highly collaborative environment, engaging with product managers, engineers, UX designers, and sales to deliver transformative client solutions. What's in it for you: Bloomberg offers the richest and most comprehensive financial datasets across asset classes in the world, paired with extensive product offerings from data to analytics to trading and investment management. You will have the opportunity to: Build generative AI and agentic workflow solutions that redefine how the financial industry conducts research, trading, and risk management. Apply advanced ML/AI techniques in an extremely rich problem space with high impact potential across hedge funds, asset managers, and investment banks. Own the full lifecycle of innovation: ideation, prototyping, validation with clients (including top-tier buy-side and sell-side firms), and delivery to production in collaboration with engineering teams. Shape how Bloomberg clients use ML/AI to evolve from research to production in scalable, efficient, and reliable ways. The problems you'll work on are complex, cutting-edge, and highly impactful - spanning everything from signal research, to portfolio construction, and to macroeconomic modeling and cross-asset investment strategies. You'll need to have: 10+ years in quantitative research, machine learning, or financial AI development, including 5+ years in capital markets (fixed income, macro, or equity) Prior experience designing and deploying GenAI solutions or agentic workflows in a financial market context Advanced degree (Masters/PhD) in a quantitative field (e.g., Computer Science, Financial Engineering, Statistics, Applied Math, Physics) Strong foundation in statistics, ML, and AI, with proven real-world applications in finance Strong programming skills in Python and familiarity with ML/AI libraries Excellent collaboration skills with quants, researchers, and engineers Strong communication skills to engage internal stakeholders and external clients We'd like to see : Research experience in multi-asset and cross-asset strategies, with preference for FI and Macro Deep curiosity and passion for generative AI, NLP, and agentic workflow automation in finance A track record of overcoming complex technical and financial challenges through collaboration and innovation Salary Range = 155000 - 285000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
10/01/2025
Full time
Quant Researcher - Agentic AI Location New York Business Area Engineering and CTO Ref # Description & Requirements Who we are: The Bloomberg CTO Office is the future-looking technical arm of Bloomberg L.P. We envision, design and prototype the next generation infrastructure, hardware and applications that interface in all aspects of the company including financial products, broadcast and media, data centers, internal IT and our global network. We are passionate about what we do. What we do: BQuant is Bloomberg's cloud-hosted quantitative investment research platform, built on JupyterLab and designed specifically for financial markets. As the centralized BQuant Research team, we drive product innovation through cutting-edge research in generative AI, agentic workflows, machine learning, NLP, and quantitative finance. We work across asset classes and market domains to prototype next-generation solutions for buy-side and sell-side institutions (hedge funds, asset managers, and investment banks). Our mission is to help clients accelerate their research, portfolio decisions, and trade execution by leveraging the unique combination of Bloomberg's financial datasets, advanced ML/AI, and domain expertise. We work at the forefront of AI in capital markets - tackling challenges in equity, fixed income, macro, and multi-asset workflows. Our team operates in a highly collaborative environment, engaging with product managers, engineers, UX designers, and sales to deliver transformative client solutions. What's in it for you: Bloomberg offers the richest and most comprehensive financial datasets across asset classes in the world, paired with extensive product offerings from data to analytics to trading and investment management. You will have the opportunity to: Build generative AI and agentic workflow solutions that redefine how the financial industry conducts research, trading, and risk management. Apply advanced ML/AI techniques in an extremely rich problem space with high impact potential across hedge funds, asset managers, and investment banks. Own the full lifecycle of innovation: ideation, prototyping, validation with clients (including top-tier buy-side and sell-side firms), and delivery to production in collaboration with engineering teams. Shape how Bloomberg clients use ML/AI to evolve from research to production in scalable, efficient, and reliable ways. The problems you'll work on are complex, cutting-edge, and highly impactful - spanning everything from signal research, to portfolio construction, and to macroeconomic modeling and cross-asset investment strategies. You'll need to have: 10+ years in quantitative research, machine learning, or financial AI development, including 5+ years in capital markets (fixed income, macro, or equity) Prior experience designing and deploying GenAI solutions or agentic workflows in a financial market context Advanced degree (Masters/PhD) in a quantitative field (e.g., Computer Science, Financial Engineering, Statistics, Applied Math, Physics) Strong foundation in statistics, ML, and AI, with proven real-world applications in finance Strong programming skills in Python and familiarity with ML/AI libraries Excellent collaboration skills with quants, researchers, and engineers Strong communication skills to engage internal stakeholders and external clients We'd like to see : Research experience in multi-asset and cross-asset strategies, with preference for FI and Macro Deep curiosity and passion for generative AI, NLP, and agentic workflow automation in finance A track record of overcoming complex technical and financial challenges through collaboration and innovation Salary Range = 155000 - 285000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Integrity Marketing Shared Services Center
Dallas, Texas
About Us Integrity is an omnichannel insurtech company innovating insurance with a singular purpose: making insurance simpler and more human, so everyone can plan for the good days ahead! With billions in funding from HGGC, Harvest Partner, SilverLake, we leverage techniques that include predictive modeling, custom dynamic dashboards, next- best-action and behavior triggers, as well as other cutting-edge methods like natural language processing (NLP) to inform decision-making and streamline processes. Integrity has experienced significant growth in the past three years, increasing earnings more than 800%. We are an employee owned company, and are also incredibly proud of our women in leadership, from our C-Suite executives to our managing partners and more (women also make up 63% of our workforce!) We recognize the importance of having equal representation throughout our organization - and that starts at the top! Job Summary Join a dynamic and fast-paced environment where technology drives innovation in the insurance industry. As an omnichannel Insurtech company, we believe work should be meaningful, impactful, and enjoyable. You'll be working on one of the most exciting data and technology opportunities in the country while helping to change lives, including your own. The Director of AI & ML is a senior leadership role responsible for defining and executing the organization's enterprise-wide Artificial Intelligence (AI) strategy. This role will oversee the development, integration, and scaling of AI and machine learning (ML) initiatives to drive operational efficiency, business innovation, and competitive advantage across Integrity. The ideal candidate combines deep technical expertise with strategic acumen and the ability to collaborate across departments to ensure AI initiatives are aligned with business goals. Responsibilities Strategic Leadership: Define and lead the organization's enterprise AI strategy, aligned with broader digital transformation objectives. Identify, prioritize, and champion high-impact AI use cases across various business functions (e.g., technology, sales, distribution, operations, finance, marketing, risk). Drive AI adoption and digital innovation, transforming data into actionable insights and business outcomes. Collaborate with executive leadership to develop AI-driven business models and solutions. Program Oversight & Execution: Oversee a portfolio of AI/ML initiatives, from proof-of-concept to production at scale. Ensure proper governance, compliance, risk management, and ethical AI practices. Establish KPIs and success metrics to monitor the effectiveness and ROI of AI initiatives. Manage vendor relationships, including cloud providers, AI platforms, and consulting partners. Team Leadership & Talent Development: Build, lead, and mentor a high-performing team of data scientists, ML engineers, AI product managers, and analysts. Foster a culture of experimentation, agility, and responsible innovation. Support internal education and AI literacy across the enterprise to empower departments to leverage AI effectively. Architecture, Data & Technology: Partner with Data Engineering, IT, and Architecture teams to ensure scalable AI infrastructure, data pipelines, and model deployment frameworks. Champion the adoption of MLOps, responsible AI principles, and reusable AI assets and platforms. Keep abreast of emerging AI trends and technologies and evaluate their applicability to the business. Position Requirements (Knowledge, Skills, and Abilities) 10+ years of experience in Data platforms, AI, ML, or advanced analytics, with at least 5 years in a senior leadership or enterprise strategy role. Proven track record of delivering AI solutions that drive measurable business value. Experience working with cloud platforms (e.g., Azure, Snowflake, Databricks), AI/ML tools (e.g., PySpark, Ragas, mlflow, LangChain, etc), and enterprise data platforms. Deep understanding of AI/ML techniques (supervised/unsupervised learning, NLP, deep learning, generative AI). Strong knowledge of enterprise IT, data governance, architecture, and security standards. Exceptional communication and influence skills, with the ability to present complex topics to executive and non-technical audiences. Strategic thinker with strong business acumen and a collaborative mindset. Preferred Experience: Experience implementing Responsible AI frameworks or working within regulated industries (e.g., healthcare, finance, insurance). Familiarity with AI compliance (e.g., GDPR, CPRA) and explainable AI practices. Background in integrating generative AI solutions (e.g., large language models) in enterprise & sales workflows. About Integrity Integrity is one of the nation's leading independent distributors of life, health and wealth insurance products. With a strong insurtech focus, we embrace a broad and innovative approach to serving agents and clients alike. Integrity is driven by a singular purpose: to help people protect their life, health and wealth so they can prepare for the good days ahead. Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At Integrity, you can start a new career path at company you'll love, and we'll love you back. We're proud of the work we do and the culture we've built, where we celebrate your hard work and support you daily. Joining us means being part of a hyper-growth company with tons of professional opportunities for you to accelerate your career. Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind. Headquartered in Dallas, Texas, Integrity is committed to meeting Americans wherever they are - in person, over the phone or online. Integrity's employees support hundreds of thousands of independent agents who serve the needs of millions of clients nationwide. For more information, visit . Integrity, LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Integrity, LLC will provide reasonable accommodations for qualified individuals with disabilities. PandoLogic. Category:Science,
10/01/2025
Full time
About Us Integrity is an omnichannel insurtech company innovating insurance with a singular purpose: making insurance simpler and more human, so everyone can plan for the good days ahead! With billions in funding from HGGC, Harvest Partner, SilverLake, we leverage techniques that include predictive modeling, custom dynamic dashboards, next- best-action and behavior triggers, as well as other cutting-edge methods like natural language processing (NLP) to inform decision-making and streamline processes. Integrity has experienced significant growth in the past three years, increasing earnings more than 800%. We are an employee owned company, and are also incredibly proud of our women in leadership, from our C-Suite executives to our managing partners and more (women also make up 63% of our workforce!) We recognize the importance of having equal representation throughout our organization - and that starts at the top! Job Summary Join a dynamic and fast-paced environment where technology drives innovation in the insurance industry. As an omnichannel Insurtech company, we believe work should be meaningful, impactful, and enjoyable. You'll be working on one of the most exciting data and technology opportunities in the country while helping to change lives, including your own. The Director of AI & ML is a senior leadership role responsible for defining and executing the organization's enterprise-wide Artificial Intelligence (AI) strategy. This role will oversee the development, integration, and scaling of AI and machine learning (ML) initiatives to drive operational efficiency, business innovation, and competitive advantage across Integrity. The ideal candidate combines deep technical expertise with strategic acumen and the ability to collaborate across departments to ensure AI initiatives are aligned with business goals. Responsibilities Strategic Leadership: Define and lead the organization's enterprise AI strategy, aligned with broader digital transformation objectives. Identify, prioritize, and champion high-impact AI use cases across various business functions (e.g., technology, sales, distribution, operations, finance, marketing, risk). Drive AI adoption and digital innovation, transforming data into actionable insights and business outcomes. Collaborate with executive leadership to develop AI-driven business models and solutions. Program Oversight & Execution: Oversee a portfolio of AI/ML initiatives, from proof-of-concept to production at scale. Ensure proper governance, compliance, risk management, and ethical AI practices. Establish KPIs and success metrics to monitor the effectiveness and ROI of AI initiatives. Manage vendor relationships, including cloud providers, AI platforms, and consulting partners. Team Leadership & Talent Development: Build, lead, and mentor a high-performing team of data scientists, ML engineers, AI product managers, and analysts. Foster a culture of experimentation, agility, and responsible innovation. Support internal education and AI literacy across the enterprise to empower departments to leverage AI effectively. Architecture, Data & Technology: Partner with Data Engineering, IT, and Architecture teams to ensure scalable AI infrastructure, data pipelines, and model deployment frameworks. Champion the adoption of MLOps, responsible AI principles, and reusable AI assets and platforms. Keep abreast of emerging AI trends and technologies and evaluate their applicability to the business. Position Requirements (Knowledge, Skills, and Abilities) 10+ years of experience in Data platforms, AI, ML, or advanced analytics, with at least 5 years in a senior leadership or enterprise strategy role. Proven track record of delivering AI solutions that drive measurable business value. Experience working with cloud platforms (e.g., Azure, Snowflake, Databricks), AI/ML tools (e.g., PySpark, Ragas, mlflow, LangChain, etc), and enterprise data platforms. Deep understanding of AI/ML techniques (supervised/unsupervised learning, NLP, deep learning, generative AI). Strong knowledge of enterprise IT, data governance, architecture, and security standards. Exceptional communication and influence skills, with the ability to present complex topics to executive and non-technical audiences. Strategic thinker with strong business acumen and a collaborative mindset. Preferred Experience: Experience implementing Responsible AI frameworks or working within regulated industries (e.g., healthcare, finance, insurance). Familiarity with AI compliance (e.g., GDPR, CPRA) and explainable AI practices. Background in integrating generative AI solutions (e.g., large language models) in enterprise & sales workflows. About Integrity Integrity is one of the nation's leading independent distributors of life, health and wealth insurance products. With a strong insurtech focus, we embrace a broad and innovative approach to serving agents and clients alike. Integrity is driven by a singular purpose: to help people protect their life, health and wealth so they can prepare for the good days ahead. Integrity offers you the opportunity to start a career in a family-like environment that is rewarding and cutting edge. Why? Because we put our people first! At Integrity, you can start a new career path at company you'll love, and we'll love you back. We're proud of the work we do and the culture we've built, where we celebrate your hard work and support you daily. Joining us means being part of a hyper-growth company with tons of professional opportunities for you to accelerate your career. Integrity offers our people a competitive compensation package, including benefits that make work more fun and give you and your family peace of mind. Headquartered in Dallas, Texas, Integrity is committed to meeting Americans wherever they are - in person, over the phone or online. Integrity's employees support hundreds of thousands of independent agents who serve the needs of millions of clients nationwide. For more information, visit . Integrity, LLC is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Integrity, LLC will provide reasonable accommodations for qualified individuals with disabilities. PandoLogic. Category:Science,
We are looking for a Senior Technical Product Marketing Manager. This role will be located in our rapidly growing data center business and pivotal in our inference marketing. You will be focused on working with engineering to understand the technical capabilities of our inference stack from GPUs, CPUs, networking, CUDA libraries, model architectures and deployment techniques (parallelisms, configurations, etc.). You will influence NVIDIA's entire technical marketing strategy to showcase our leadership position in AI inference. Want to join a fun, creative company that is at the forefront of outstanding Generative AI technologies? NVIDIA is developing groundbreaking solutions in some of the world's most exciting areas including artificial intelligence and high performance computing. Come grow your career to new heights at one of the fastest growing technology companies! What You'll Be Doing: Help drive NVIDIA's inference platform technical go-to-market efforts Work closely with engineering and product management teams to understand key technical capabilities of our inference stack from GPUs, CPUs, networking, CUDA libraries, model architectures and deployment techniques (e.g.parallelisms, configurations, etc.) Diligently review and remain up to date on model architectures, frameworks, arxiv papers, whitepapers deployment techniques (e.g.disaggregated serving, KV cache implementations) and identify intersection points between the latest AI models and NVIDIA's platform to maximize performance and minimize TCO Develop crisp clear positioning, messaging and assets to highlight NVIDIA's leadership position in inference. Assets (blogs, whitepapers, presentations, analyst briefings, seminars at developer conferences) Closely follow competitive inference announcements and prepare appropriate responses for business and technical/developer audiences Assist on building keynote slides for executives for areas that you're a subject matter expert What We Need to See: A BS Degree in Computer Science or Engineering or related field or equivalent experience in a technical product marketing role; Masters Degree preferred. 6+ years of experience in LLM, AI/ML development in an engineering role followed by 5+ years of experience in product management or technical product marketing of AI/ML products Deep understanding of modern data center architectures, accelerated computing, distributed inference, deep learning frameworks (PyTorch, TensorFlow, JAX), and inference-specific frameworks & optimizations (Dynamo, Triton Inference Server, TensorRT-LLM, vLLM, SGLang) Market Awareness - Experience conducting technical competitive analysis and synthesizing key insights Collaboration & Influence - Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams Strong Communication, Asset Creation & Storytelling - Ability to translate sophisticated technical concepts into clear, compelling narratives for both technical and business audiences Ability to present to executive audiences Ways to Stand Out from the crowd: Hands-on experience with AI inferencing workflows using NVIDIA or open-source serving frameworks running on accelerated computing in the data center Experience developing LLM models Experience working with hyperscale cloud providers Hands-on Technical Competence - Background in software development, AI infrastructure, data center silicon Demonstrated ability to engage with executive leadership and external partners Published technical content or speaking experience at industry events Have a portfolio of published marketing/launch assets NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 28, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
10/01/2025
Full time
We are looking for a Senior Technical Product Marketing Manager. This role will be located in our rapidly growing data center business and pivotal in our inference marketing. You will be focused on working with engineering to understand the technical capabilities of our inference stack from GPUs, CPUs, networking, CUDA libraries, model architectures and deployment techniques (parallelisms, configurations, etc.). You will influence NVIDIA's entire technical marketing strategy to showcase our leadership position in AI inference. Want to join a fun, creative company that is at the forefront of outstanding Generative AI technologies? NVIDIA is developing groundbreaking solutions in some of the world's most exciting areas including artificial intelligence and high performance computing. Come grow your career to new heights at one of the fastest growing technology companies! What You'll Be Doing: Help drive NVIDIA's inference platform technical go-to-market efforts Work closely with engineering and product management teams to understand key technical capabilities of our inference stack from GPUs, CPUs, networking, CUDA libraries, model architectures and deployment techniques (e.g.parallelisms, configurations, etc.) Diligently review and remain up to date on model architectures, frameworks, arxiv papers, whitepapers deployment techniques (e.g.disaggregated serving, KV cache implementations) and identify intersection points between the latest AI models and NVIDIA's platform to maximize performance and minimize TCO Develop crisp clear positioning, messaging and assets to highlight NVIDIA's leadership position in inference. Assets (blogs, whitepapers, presentations, analyst briefings, seminars at developer conferences) Closely follow competitive inference announcements and prepare appropriate responses for business and technical/developer audiences Assist on building keynote slides for executives for areas that you're a subject matter expert What We Need to See: A BS Degree in Computer Science or Engineering or related field or equivalent experience in a technical product marketing role; Masters Degree preferred. 6+ years of experience in LLM, AI/ML development in an engineering role followed by 5+ years of experience in product management or technical product marketing of AI/ML products Deep understanding of modern data center architectures, accelerated computing, distributed inference, deep learning frameworks (PyTorch, TensorFlow, JAX), and inference-specific frameworks & optimizations (Dynamo, Triton Inference Server, TensorRT-LLM, vLLM, SGLang) Market Awareness - Experience conducting technical competitive analysis and synthesizing key insights Collaboration & Influence - Proven ability to work cross-functionally across engineering, product management, sales, and marketing teams Strong Communication, Asset Creation & Storytelling - Ability to translate sophisticated technical concepts into clear, compelling narratives for both technical and business audiences Ability to present to executive audiences Ways to Stand Out from the crowd: Hands-on experience with AI inferencing workflows using NVIDIA or open-source serving frameworks running on accelerated computing in the data center Experience developing LLM models Experience working with hyperscale cloud providers Hands-on Technical Competence - Background in software development, AI infrastructure, data center silicon Demonstrated ability to engage with executive leadership and external partners Published technical content or speaking experience at industry events Have a portfolio of published marketing/launch assets NVIDIA is widely considered to be one of high technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life's best work. If you're creative, self-motivated, and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 28, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Job Summary Medline Industries is seeking a Lead Data Scientist to drive the design, development, and deployment of AI and machine learning solutions that create measurable business impact. This role requires strong technical expertise in machine learning and Generative AI (GenAI). The successful candidate will collaborate with cross-functional teams to deliver AI enabled business solutions from proof of concept to full-scale deployment.Job Description MAJOR RESPONSIBILITIES Scope, design, and execute time-bound Proof of Concepts (PoCs), ensuring alignment with business goals. Conduct exploratory data analysis (EDA) to understand data distributions, uncover patterns, and generate actionable insights. Work with Product Managers to understand business objectives and success metrics for AI initiatives. Work closely with Data Engineers to identify and prepare the necessary data pipelines and infrastructure for model development. Partner with AI Engineers to implement ML models and GenAI solutions into applications and workflows effectively. Communicate findings and insights to non-technical stakeholders, including process experts and business leaders. Lead the design and development of machine learning (ML) models, statistical models, and Generative AI (GenAI) solutions, guiding data scientists and developers through the full development lifecycle. Develop feature engineering pipelines and optimize model performance through rigorous experimentation and iteration. Co-own User Acceptance Testing (UAT) and pilot phases with Product Managers to ensure business requirements are met. Collaborate with AI Ops Engineers to ensure seamless deployment, monitoring, and maintenance of AI solutions in production. Stay accountable for model performance by regularly reviewing key metrics, driving retraining, and implementing improvements as needed. Stay abreast of emerging AI trends and technologies, evaluating their applicability to Medline's AI landscape. Advocate for and prioritize the adoption of high-impact AI capabilities in collaboration with cross-functional stakeholders. MINIMUM JOB REQUIREMENTS Education Bachelor's degree in computer science, Data Science, AI, Statistics, or a related field. Work Experience 5+ years of experience in data science, delivering end-to-end AI/ML solutions in a business environment. Proven track record in developing and deploying ML models and GenAI applications. Strong experience collaborating cross functionally in a large organization. Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud-based AI services (AWS, Azure, GCP). Expertise in exploratory data analysis (EDA), feature engineering, experiment design, and model building. Knowledge / Skills / Abilities Technical Skills: Proficiency in programming languages such as Python or R for data analysis and machine learning model development. Strong expertise in supervised and unsupervised learning techniques including classical machine learning, time series and NLP. Hands-on experience with large language models (LLMs) such as GPT, Claude, or LLaMA, including fine-tuning and prompt engineering. Proficiency in retrieval-augmented generation (RAG) using vector databases like FAISS or Pinecone. Familiarity with GenAI frameworks such as LangChain or LlamaIndex for enterprise applications. Experience with cloud-based AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) for scalable deployment. Understanding of model evaluation techniques and guardrails to ensure accuracy, reliability, and compliance. Working knowledge of MLOps practices, including model deployment, monitoring, and retraining to maintain long-term performance. Soft Skills: Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts in business-friendly language. Strong problem-solving abilities with a proactive, results-driven mindset. Ability to work effectively in a fast-paced, matrixed organization with cross-functional collaboration PREFERRED JOB REQUIREMENTS Education Master's degree in computer science, Data Science, AI, Statistics, or a related field Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $115,440.00 - $173,160.00 AnnualThe actual salary will vary based on applicant's location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here . For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here . Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
10/01/2025
Full time
Job Summary Medline Industries is seeking a Lead Data Scientist to drive the design, development, and deployment of AI and machine learning solutions that create measurable business impact. This role requires strong technical expertise in machine learning and Generative AI (GenAI). The successful candidate will collaborate with cross-functional teams to deliver AI enabled business solutions from proof of concept to full-scale deployment.Job Description MAJOR RESPONSIBILITIES Scope, design, and execute time-bound Proof of Concepts (PoCs), ensuring alignment with business goals. Conduct exploratory data analysis (EDA) to understand data distributions, uncover patterns, and generate actionable insights. Work with Product Managers to understand business objectives and success metrics for AI initiatives. Work closely with Data Engineers to identify and prepare the necessary data pipelines and infrastructure for model development. Partner with AI Engineers to implement ML models and GenAI solutions into applications and workflows effectively. Communicate findings and insights to non-technical stakeholders, including process experts and business leaders. Lead the design and development of machine learning (ML) models, statistical models, and Generative AI (GenAI) solutions, guiding data scientists and developers through the full development lifecycle. Develop feature engineering pipelines and optimize model performance through rigorous experimentation and iteration. Co-own User Acceptance Testing (UAT) and pilot phases with Product Managers to ensure business requirements are met. Collaborate with AI Ops Engineers to ensure seamless deployment, monitoring, and maintenance of AI solutions in production. Stay accountable for model performance by regularly reviewing key metrics, driving retraining, and implementing improvements as needed. Stay abreast of emerging AI trends and technologies, evaluating their applicability to Medline's AI landscape. Advocate for and prioritize the adoption of high-impact AI capabilities in collaboration with cross-functional stakeholders. MINIMUM JOB REQUIREMENTS Education Bachelor's degree in computer science, Data Science, AI, Statistics, or a related field. Work Experience 5+ years of experience in data science, delivering end-to-end AI/ML solutions in a business environment. Proven track record in developing and deploying ML models and GenAI applications. Strong experience collaborating cross functionally in a large organization. Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud-based AI services (AWS, Azure, GCP). Expertise in exploratory data analysis (EDA), feature engineering, experiment design, and model building. Knowledge / Skills / Abilities Technical Skills: Proficiency in programming languages such as Python or R for data analysis and machine learning model development. Strong expertise in supervised and unsupervised learning techniques including classical machine learning, time series and NLP. Hands-on experience with large language models (LLMs) such as GPT, Claude, or LLaMA, including fine-tuning and prompt engineering. Proficiency in retrieval-augmented generation (RAG) using vector databases like FAISS or Pinecone. Familiarity with GenAI frameworks such as LangChain or LlamaIndex for enterprise applications. Experience with cloud-based AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) for scalable deployment. Understanding of model evaluation techniques and guardrails to ensure accuracy, reliability, and compliance. Working knowledge of MLOps practices, including model deployment, monitoring, and retraining to maintain long-term performance. Soft Skills: Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts in business-friendly language. Strong problem-solving abilities with a proactive, results-driven mindset. Ability to work effectively in a fast-paced, matrixed organization with cross-functional collaboration PREFERRED JOB REQUIREMENTS Education Master's degree in computer science, Data Science, AI, Statistics, or a related field Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $115,440.00 - $173,160.00 AnnualThe actual salary will vary based on applicant's location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here . For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here . Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
