We are pioneering the future of e-commerce by leveraging AI to curate and generate diverse media content. We are seeking a Senior Technical Program Manager to spearhead our mission of delivering premium-quality product images and videos to customers globally. In this role, you will lead the program management of implementation, experimentation, and deployment of next-generation visual contents to enhance the customer journey. The projects leverage Generative AI, machine learning, and advanced engineering technologies. Key job responsibilities As a Senior TPM, you'll collaborate with Applied Scientists to implement state of the art ML models, work with Software Development Engineers to build scalable infrastructure, and partner with business teams to define the ideal media content across different product categories and regions. You'll be at the forefront of solving complex technical challenges, coordinating multiple core technical teams, making data driven decisions, and ensuring system reliability at massive scale. A day in the life Your day will begin with reviewing project dependencies and coordinating progress updates across business and technical teams. Throughout the day, you will collaborate closely with Applied Scientists to develop and execute model deployment strategies, while working alongside Software Development Engineers to optimize the GenAI asset generation and publishing pipeline. You will also coordinate with QA team to manage resource allocation and testing schedules. You'll meet regularly with business stakeholders to ensure technical roadmaps remain aligned with business objectives. This dynamic role demands project management skills, technical acumen, and the ability to bridge technical execution with business strategy. About the team Our team manages the critical infrastructure that powers the GenAI Evaluation Media organization's core operations. We enable rapid and precise experimentation on optimal product media content, provide sophisticated tooling to accelerate the Applied Science team's research initiatives, and deliver frameworks that empower business stakeholders to make data-driven decisions. Through our infrastructure and tools, we serve as the foundation that enables innovation and strategic growth across the organization. BASIC QUALIFICATIONS - 5+ years of technical product or program management experience - 7+ years of working directly with engineering teams experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Bachelor's Degree PREFERRED QUALIFICATIONS - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership 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 $133,900/year in our lowest geographic market up to $231,400/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.
09/03/2025
Full time
We are pioneering the future of e-commerce by leveraging AI to curate and generate diverse media content. We are seeking a Senior Technical Program Manager to spearhead our mission of delivering premium-quality product images and videos to customers globally. In this role, you will lead the program management of implementation, experimentation, and deployment of next-generation visual contents to enhance the customer journey. The projects leverage Generative AI, machine learning, and advanced engineering technologies. Key job responsibilities As a Senior TPM, you'll collaborate with Applied Scientists to implement state of the art ML models, work with Software Development Engineers to build scalable infrastructure, and partner with business teams to define the ideal media content across different product categories and regions. You'll be at the forefront of solving complex technical challenges, coordinating multiple core technical teams, making data driven decisions, and ensuring system reliability at massive scale. A day in the life Your day will begin with reviewing project dependencies and coordinating progress updates across business and technical teams. Throughout the day, you will collaborate closely with Applied Scientists to develop and execute model deployment strategies, while working alongside Software Development Engineers to optimize the GenAI asset generation and publishing pipeline. You will also coordinate with QA team to manage resource allocation and testing schedules. You'll meet regularly with business stakeholders to ensure technical roadmaps remain aligned with business objectives. This dynamic role demands project management skills, technical acumen, and the ability to bridge technical execution with business strategy. About the team Our team manages the critical infrastructure that powers the GenAI Evaluation Media organization's core operations. We enable rapid and precise experimentation on optimal product media content, provide sophisticated tooling to accelerate the Applied Science team's research initiatives, and deliver frameworks that empower business stakeholders to make data-driven decisions. Through our infrastructure and tools, we serve as the foundation that enables innovation and strategic growth across the organization. BASIC QUALIFICATIONS - 5+ years of technical product or program management experience - 7+ years of working directly with engineering teams experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Bachelor's Degree PREFERRED QUALIFICATIONS - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership 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 $133,900/year in our lowest geographic market up to $231,400/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.
What you'll need to succeed as Senior Scientist, Data Science at XPO Minimum qualifications: Bachelor's degree or equivalent related work or military experience 2 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and Matplotlib) Significant experience applying one or more analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques Deep understanding of statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods Technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results Proficiency in Microsoft Office and Windows applications Availability to work periodic 24/7 on-call support as required by the team's rotation schedule Preferred qualifications: Master's degree in Computer Science, MIS, Engineering, Business or a related field Data science specialization from Coursera, Udacity, Data Camp, etc. 5 years of experience in data science, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, and AI 5 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Ability to quickly learn and achieve proficiency in new software applications About the Senior Scientist, Data Science job Pay, benefits and more: Competitive compensation package Full health insurance benefits available on day one Life and disability insurance Earn up to 15 days of PTO over your first year 9 paid company holidays 401(k) option with company match Education assistance Opportunity to participate in a company incentive plan What you'll do on a typical day: Conceive and develop end-to-end solutions focused on data science and engineering, using machine learning and deep learning algorithms, statistical concepts, data modeling, software development, cloud computing and visualizations Resolve technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines Understand and improve shared standard patterns, templates and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption and rollout Collaborate with IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery Mentor other team members on technical skills, methodologies, problem solving approaches and standard patterns used at XPO Generalize and share technical approaches among other developers, and simplify and communicate completed work to broader audiences across the company Help support data consumers to ensure they have reliable access to trusted data Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans. About XPO XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here . PandoLogic.
09/03/2025
Full time
What you'll need to succeed as Senior Scientist, Data Science at XPO Minimum qualifications: Bachelor's degree or equivalent related work or military experience 2 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and Matplotlib) Significant experience applying one or more analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques Deep understanding of statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods Technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results Proficiency in Microsoft Office and Windows applications Availability to work periodic 24/7 on-call support as required by the team's rotation schedule Preferred qualifications: Master's degree in Computer Science, MIS, Engineering, Business or a related field Data science specialization from Coursera, Udacity, Data Camp, etc. 5 years of experience in data science, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, and AI 5 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Ability to quickly learn and achieve proficiency in new software applications About the Senior Scientist, Data Science job Pay, benefits and more: Competitive compensation package Full health insurance benefits available on day one Life and disability insurance Earn up to 15 days of PTO over your first year 9 paid company holidays 401(k) option with company match Education assistance Opportunity to participate in a company incentive plan What you'll do on a typical day: Conceive and develop end-to-end solutions focused on data science and engineering, using machine learning and deep learning algorithms, statistical concepts, data modeling, software development, cloud computing and visualizations Resolve technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines Understand and improve shared standard patterns, templates and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption and rollout Collaborate with IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery Mentor other team members on technical skills, methodologies, problem solving approaches and standard patterns used at XPO Generalize and share technical approaches among other developers, and simplify and communicate completed work to broader audiences across the company Help support data consumers to ensure they have reliable access to trusted data Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans. About XPO XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here . PandoLogic.
What you'll need to succeed as Senior Scientist, Data Science at XPO Minimum qualifications: Bachelor's degree or equivalent related work or military experience 2 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and Matplotlib) Significant experience applying one or more analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques Deep understanding of statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods Technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results Proficiency in Microsoft Office and Windows applications Availability to work periodic 24/7 on-call support as required by the team's rotation schedule Preferred qualifications: Master's degree in Computer Science, MIS, Engineering, Business or a related field Data science specialization from Coursera, Udacity, Data Camp, etc. 5 years of experience in data science, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, and AI 5 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Ability to quickly learn and achieve proficiency in new software applications About the Senior Scientist, Data Science job Pay, benefits and more: Competitive compensation package Full health insurance benefits available on day one Life and disability insurance Earn up to 15 days of PTO over your first year 9 paid company holidays 401(k) option with company match Education assistance Opportunity to participate in a company incentive plan What you'll do on a typical day: Conceive and develop end-to-end solutions focused on data science and engineering, using machine learning and deep learning algorithms, statistical concepts, data modeling, software development, cloud computing and visualizations Resolve technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines Understand and improve shared standard patterns, templates and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption and rollout Collaborate with IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery Mentor other team members on technical skills, methodologies, problem solving approaches and standard patterns used at XPO Generalize and share technical approaches among other developers, and simplify and communicate completed work to broader audiences across the company Help support data consumers to ensure they have reliable access to trusted data About XPO XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here . PandoLogic.
09/03/2025
Full time
What you'll need to succeed as Senior Scientist, Data Science at XPO Minimum qualifications: Bachelor's degree or equivalent related work or military experience 2 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Experience with statistical modeling, data analytics and visualization using R and Python (Numpy, Pandas, Scipy, Plotly and Matplotlib) Significant experience applying one or more analytical methods: regression (preferably mixed models), data classification and reduction (cluster, factor, principle components, decision trees), Bayesian inference or other advanced machine learning techniques Deep understanding of statistical modeling, machine learning, deep learning or data mining concepts, and a track record of solving problems with these methods Technical database knowledge (Oracle, NoSQL, data modeling) and experience optimizing SQL queries on large data Ability to write SQL fluently, recognize and correct inefficient or error-prone SQL, and perform test-driven validation of SQL queries and their results Proficiency in Microsoft Office and Windows applications Availability to work periodic 24/7 on-call support as required by the team's rotation schedule Preferred qualifications: Master's degree in Computer Science, MIS, Engineering, Business or a related field Data science specialization from Coursera, Udacity, Data Camp, etc. 5 years of experience in data science, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, and AI 5 years of hands-on experience in delivering solutions in at least two of the following: data science, data analysis, geospatial, finance, econometrics, cloud computing, big data and database management Ability to quickly learn and achieve proficiency in new software applications About the Senior Scientist, Data Science job Pay, benefits and more: Competitive compensation package Full health insurance benefits available on day one Life and disability insurance Earn up to 15 days of PTO over your first year 9 paid company holidays 401(k) option with company match Education assistance Opportunity to participate in a company incentive plan What you'll do on a typical day: Conceive and develop end-to-end solutions focused on data science and engineering, using machine learning and deep learning algorithms, statistical concepts, data modeling, software development, cloud computing and visualizations Resolve technical issues in existing processes and current development work; solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines Understand and improve shared standard patterns, templates and artifacts for data science platform architecture, data science development approaches, data models, new technology adoption and rollout Collaborate with IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery Mentor other team members on technical skills, methodologies, problem solving approaches and standard patterns used at XPO Generalize and share technical approaches among other developers, and simplify and communicate completed work to broader audiences across the company Help support data consumers to ensure they have reliable access to trusted data About XPO XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here . PandoLogic.
We are seeking a Senior Technical Product Manager to join our team. This is an opportunity to define the future of Global Robotics Delivery as you build innovative solutions to challenges in robotics supply chain and manufacturing. As Senior Product Manager for AI/ML products, you will focus on technologies that will help robotics delivery optimize operations, with a focus on providing our business partners with intelligent insights. You will harness the power of machine learning to help define and build new operations experiences that make it easier for Global Robotics Delivery to successfully deploy robotics fulfillment centers. At Amazon Robotics Global Robotics Delivery, Product Managers are the owners of the features they build and closely collaborate with Data and Applied Science, Engineering, Project Management, and customers to set strategy, define, design, and directly manage all aspects of the customer experience. A successful candidate will be customer obsessed, highly analytical, have experience defining and delivering media/mobile/web products quickly and at scale, and be adept at synthesizing a variety of technologies and capabilities into high quality, simple products and applications that customers love. An ideal candidate will also have experience in operations research, supply chain, and/or manufacturing. You will be able to translate a big vision for the future into a simple set of features we can launch iteratively and experimentally, and know how to build support for your vision while taking input from other creative contributors. This role will own underlying discovery technologies for supply chain and delivery science, and have a deep understand of the commercial product landscape. Key job responsibilities - Partner with key stakeholders to define and track the product roadmap and key performance indicators (KPIs) - Translate customer insights and business strategy into clearly defined product requirements - Work closely with Data and Applied Scientists, Engineering teams, and customers in an agile environment to develop and deliver innovative solutions - Develop crisp and detailed business requirements and user stories that can be used to create product specifications, design and architecture - Manage prioritization and trade-offs to ensure delivery of a great customer experience - Manage day-to-day cross-functional relations, to ensure the product roadmap and prioritization are understood and implemented effectively - Interface and collaborate with teams across Amazon Robotics and partner organizations - Operate with a high degree of autonomy and ambiguity About the team The Robotics Operations Data Solutions (RODS) team supports the mission of the Quality, Technology, and Strategy (QTS) organization within Global Robotics Delivery (GRD) by providing the data infrastructure, advanced analytics, and scientific modeling needed for Robotics Manufacturing Technical Operations (RMTO), Robotics Supply Chain (RSC), and other customer teams in Fulfillment Technologies & Robotics (FTR) to make efficient, cost-optimized, data-driven decisions. We are a cross-functional team of Business Intelligence Engineers, Data Engineers, and Data Scientists with skills that span the complete data lifecycle. BASIC QUALIFICATIONS - Bachelor's degree - 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 PREFERRED QUALIFICATIONS - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools 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.
09/03/2025
Full time
We are seeking a Senior Technical Product Manager to join our team. This is an opportunity to define the future of Global Robotics Delivery as you build innovative solutions to challenges in robotics supply chain and manufacturing. As Senior Product Manager for AI/ML products, you will focus on technologies that will help robotics delivery optimize operations, with a focus on providing our business partners with intelligent insights. You will harness the power of machine learning to help define and build new operations experiences that make it easier for Global Robotics Delivery to successfully deploy robotics fulfillment centers. At Amazon Robotics Global Robotics Delivery, Product Managers are the owners of the features they build and closely collaborate with Data and Applied Science, Engineering, Project Management, and customers to set strategy, define, design, and directly manage all aspects of the customer experience. A successful candidate will be customer obsessed, highly analytical, have experience defining and delivering media/mobile/web products quickly and at scale, and be adept at synthesizing a variety of technologies and capabilities into high quality, simple products and applications that customers love. An ideal candidate will also have experience in operations research, supply chain, and/or manufacturing. You will be able to translate a big vision for the future into a simple set of features we can launch iteratively and experimentally, and know how to build support for your vision while taking input from other creative contributors. This role will own underlying discovery technologies for supply chain and delivery science, and have a deep understand of the commercial product landscape. Key job responsibilities - Partner with key stakeholders to define and track the product roadmap and key performance indicators (KPIs) - Translate customer insights and business strategy into clearly defined product requirements - Work closely with Data and Applied Scientists, Engineering teams, and customers in an agile environment to develop and deliver innovative solutions - Develop crisp and detailed business requirements and user stories that can be used to create product specifications, design and architecture - Manage prioritization and trade-offs to ensure delivery of a great customer experience - Manage day-to-day cross-functional relations, to ensure the product roadmap and prioritization are understood and implemented effectively - Interface and collaborate with teams across Amazon Robotics and partner organizations - Operate with a high degree of autonomy and ambiguity About the team The Robotics Operations Data Solutions (RODS) team supports the mission of the Quality, Technology, and Strategy (QTS) organization within Global Robotics Delivery (GRD) by providing the data infrastructure, advanced analytics, and scientific modeling needed for Robotics Manufacturing Technical Operations (RMTO), Robotics Supply Chain (RSC), and other customer teams in Fulfillment Technologies & Robotics (FTR) to make efficient, cost-optimized, data-driven decisions. We are a cross-functional team of Business Intelligence Engineers, Data Engineers, and Data Scientists with skills that span the complete data lifecycle. BASIC QUALIFICATIONS - Bachelor's degree - 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 PREFERRED QUALIFICATIONS - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools 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.
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Are you excited about developing state-of-the-art Deep Learning, Computer Vision and GenAI models using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? Do you enjoy the prospect of solving real-world problems that have not been solved at scale before? Along the way, you'll get to use machine learning to drive significant impact. We're seeking a Principal Applied Scientist with the ability to apply deep learning and generative AI techniques to conceptualize, promote, and execute innovative solutions for previously unsolved challenges. As an Applied Scientist at Amazon One, you will bring AI advancements to build foundational models for customer-facing identity/biometrics solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products. About the team Amazon One within AWS provides innovative biometric identity solutions for customers, offering seamless, contactless palm-based authentication with the same on-demand scalability, reliability, and machine learning expertise that drive Amazon services. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that's more startup than big company. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language - 5+ years of experience in building machine learning models for business applications PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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.
09/03/2025
Full time
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Are you excited about developing state-of-the-art Deep Learning, Computer Vision and GenAI models using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? Do you enjoy the prospect of solving real-world problems that have not been solved at scale before? Along the way, you'll get to use machine learning to drive significant impact. We're seeking a Principal Applied Scientist with the ability to apply deep learning and generative AI techniques to conceptualize, promote, and execute innovative solutions for previously unsolved challenges. As an Applied Scientist at Amazon One, you will bring AI advancements to build foundational models for customer-facing identity/biometrics solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products. About the team Amazon One within AWS provides innovative biometric identity solutions for customers, offering seamless, contactless palm-based authentication with the same on-demand scalability, reliability, and machine learning expertise that drive Amazon services. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that's more startup than big company. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language - 5+ years of experience in building machine learning models for business applications PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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.
Outbound Communications organization is seeking a highly motivated Senior Research Scientist. In Outbound, we are innovating and building scientific solutions to delight Amazon customers with timely, highly personalized and relevant messages across digital channels such as email, mobile push notifications, WhatsApp and SMS. As a Sr. Applied Scientist in Outbound, you will architect and develop the scientific models for the next generation Outbound message management service that sends 100s of millions of communications (push, email, etc) to worldwide Amazon customers everyday plausibly within minutes of customer-actions on The models handle decisions such as scheduling and optimization across message-ranking, timing and frequency across these messages that drive $20B+ of annual revenue for Amazon. You will use techniques such as reinforcement learning and multi-armed bandits (MAB) to optimize long-term engagement of customers with Amazon. The models and architecture you build ensure a high bar for customer experience through scientifically established guardrails that would use large language models (LLMs). You will own and present research artifacts to internal and external science forums, along with influencing senior leadership and stakeholders for strategic decision-making. Key job responsibilities As a Sr. Applied Scientist in Outbound, you will design and develop science models in a highly ambiguous message-management domain that handles scheduling and dispatch decisions of 100s of millions of messages everyday. These models will decide what messages we send to customers, at what times, and through what channels to optimize the long-term customer engagement. You will research and apply state of the art modeling methods such as reinforcement learning, bandits, neural networks, causal modeling methods and LLMs to optimize the message selection, timing and channel of communication for customers. At the crux of architecting these models is influencing the software design of the new message management service responsible to send these messages to customers in span of minutes from when a customer takes actions on-site. You will partner closely with the software engineering and product managers to come up with an ideal design of science architecture that considers design tradeoffs in context of software constraints and user requirements. You will design and analyze experiments that enable quick iteration of model development and learnings as Outbound's message-management service evolves. You will present scientific findings to senior leaders; and technical, business and product stakeholders to guide for decisions that maximize benefits for Amazon in the long-run. You will mentor junior scientists in the team. You will coordinate with broader Amazon science teams to align your research and scientific design choices with the broader Amazon's customer objectives. You will document and publish your research-driven artifacts to influence the scientific community in and outside of Amazon. BASIC QUALIFICATIONS - PhD and 4+ years, or Master's degree and 8+ years of industry experience in a quantitative discipline. - 4+ years of experience investigating the feasibility of applying scientific principles and concepts to business problems. - 4+ years of experience with advanced machine learning methods such as neural networks, reinforcement learning, natural language processing. - 4+ years of experience with programming languages such as python, C++, Java. - 4+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - 2+ years of experience communicating findings and details of quantitative research methods to non-quantitative audience PREFERRED QUALIFICATIONS - 2+ years of experience with discrete and continuous optimization methodologies and algorithms - 2+ years of experience working in software system design. 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 $150,400/year in our lowest geographic market up to $260,000/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.
09/03/2025
Full time
Outbound Communications organization is seeking a highly motivated Senior Research Scientist. In Outbound, we are innovating and building scientific solutions to delight Amazon customers with timely, highly personalized and relevant messages across digital channels such as email, mobile push notifications, WhatsApp and SMS. As a Sr. Applied Scientist in Outbound, you will architect and develop the scientific models for the next generation Outbound message management service that sends 100s of millions of communications (push, email, etc) to worldwide Amazon customers everyday plausibly within minutes of customer-actions on The models handle decisions such as scheduling and optimization across message-ranking, timing and frequency across these messages that drive $20B+ of annual revenue for Amazon. You will use techniques such as reinforcement learning and multi-armed bandits (MAB) to optimize long-term engagement of customers with Amazon. The models and architecture you build ensure a high bar for customer experience through scientifically established guardrails that would use large language models (LLMs). You will own and present research artifacts to internal and external science forums, along with influencing senior leadership and stakeholders for strategic decision-making. Key job responsibilities As a Sr. Applied Scientist in Outbound, you will design and develop science models in a highly ambiguous message-management domain that handles scheduling and dispatch decisions of 100s of millions of messages everyday. These models will decide what messages we send to customers, at what times, and through what channels to optimize the long-term customer engagement. You will research and apply state of the art modeling methods such as reinforcement learning, bandits, neural networks, causal modeling methods and LLMs to optimize the message selection, timing and channel of communication for customers. At the crux of architecting these models is influencing the software design of the new message management service responsible to send these messages to customers in span of minutes from when a customer takes actions on-site. You will partner closely with the software engineering and product managers to come up with an ideal design of science architecture that considers design tradeoffs in context of software constraints and user requirements. You will design and analyze experiments that enable quick iteration of model development and learnings as Outbound's message-management service evolves. You will present scientific findings to senior leaders; and technical, business and product stakeholders to guide for decisions that maximize benefits for Amazon in the long-run. You will mentor junior scientists in the team. You will coordinate with broader Amazon science teams to align your research and scientific design choices with the broader Amazon's customer objectives. You will document and publish your research-driven artifacts to influence the scientific community in and outside of Amazon. BASIC QUALIFICATIONS - PhD and 4+ years, or Master's degree and 8+ years of industry experience in a quantitative discipline. - 4+ years of experience investigating the feasibility of applying scientific principles and concepts to business problems. - 4+ years of experience with advanced machine learning methods such as neural networks, reinforcement learning, natural language processing. - 4+ years of experience with programming languages such as python, C++, Java. - 4+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - 2+ years of experience communicating findings and details of quantitative research methods to non-quantitative audience PREFERRED QUALIFICATIONS - 2+ years of experience with discrete and continuous optimization methodologies and algorithms - 2+ years of experience working in software system design. 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 $150,400/year in our lowest geographic market up to $260,000/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.
Join us in the evolution of Amazon's Seller business! The Seller Growth Science organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources. We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (). Key job responsibilities As a Sr. Applied Scientist in the team, you will: - Identify opportunities to improve SP growth and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL). - Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps. - Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers. - Work with our engineering partners and draw upon your experience to meet latency and other system constraints. - Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver. - Be responsible for communicating our science innovations to the broader internal & external scientific community. BASIC QUALIFICATIONS - 4+ years of applied research experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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.
09/03/2025
Full time
Join us in the evolution of Amazon's Seller business! The Seller Growth Science organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources. We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (). Key job responsibilities As a Sr. Applied Scientist in the team, you will: - Identify opportunities to improve SP growth and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL). - Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps. - Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers. - Work with our engineering partners and draw upon your experience to meet latency and other system constraints. - Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver. - Be responsible for communicating our science innovations to the broader internal & external scientific community. BASIC QUALIFICATIONS - 4+ years of applied research experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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.
Amazon Science gives you insight into the company's approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Please visit for more information. Are you an expert in Natural Language Processing (NLP) and Large Language Models (LLM)? Are you interested in building Agentic AI solutions on complex business problems that have significant global benefit. The Brand Protection team designs and builds high performance AI systems using LLM and machine learning that identify and prevent abuse and counterfeit on behalf of brand owners worldwide. We are looking for a highly talented scientist to help build of our vision for agent-based intellegent automation. As a senior applied scientist on the team, you will use NLP and LLM techniques to built automated AI solutions that thinks like human to assist decision making and eventually make autonomous decisions that impacts millions of brands, selling partners and customers. You will work backwards from data insights and customer feedback to build the right machine learning solutions, collaborate with other domain experts in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production and owning the end-to-end solution. An ideal candidate should have extensive experience driving large-scale Machine Learning initiatives, specially in GenAI and LLM applications, from conception to launch in a rapidly evolving environment. Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. Major responsibilities: - Understand business challenges by analyzing data and customer feedback - Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement - Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems. - Use NLP, LLM and machine learning techniques to create scalable solutions for business problems - Create business and analytics reports and present to the senior management teams - Research and implement novel AI solutions and publish research papers About the team Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience - 3+ years of building machine learning models for business application experience - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of applied research experience PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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.
09/03/2025
Full time
Amazon Science gives you insight into the company's approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Please visit for more information. Are you an expert in Natural Language Processing (NLP) and Large Language Models (LLM)? Are you interested in building Agentic AI solutions on complex business problems that have significant global benefit. The Brand Protection team designs and builds high performance AI systems using LLM and machine learning that identify and prevent abuse and counterfeit on behalf of brand owners worldwide. We are looking for a highly talented scientist to help build of our vision for agent-based intellegent automation. As a senior applied scientist on the team, you will use NLP and LLM techniques to built automated AI solutions that thinks like human to assist decision making and eventually make autonomous decisions that impacts millions of brands, selling partners and customers. You will work backwards from data insights and customer feedback to build the right machine learning solutions, collaborate with other domain experts in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production and owning the end-to-end solution. An ideal candidate should have extensive experience driving large-scale Machine Learning initiatives, specially in GenAI and LLM applications, from conception to launch in a rapidly evolving environment. Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. Major responsibilities: - Understand business challenges by analyzing data and customer feedback - Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement - Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems. - Use NLP, LLM and machine learning techniques to create scalable solutions for business problems - Create business and analytics reports and present to the senior management teams - Research and implement novel AI solutions and publish research papers About the team Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience - 3+ years of building machine learning models for business application experience - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of applied research experience PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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.
The Amazon Regulatory Intelligence, Safety, and Compliance (RISC) team is seeking an exceptional Applied Scientist to tackle complex compliance challenges. In this high-impact role, you will leverage your deep technical expertise and customer-obsessed mindset to design and evaluate state-of-the-art algorithms in risk modeling, computer vision, and natural language processing. You will translate complex business requirements into well-defined science problems and work collaboratively with product, engineering, and business stakeholders to drive real-world impact. Staying at the forefront of applied machine learning, you will continuously adapt your skills to tackle new challenges. Contributing to Amazon's scientific thought leadership, you will author high-quality research papers for internal and external conferences. This is an opportunity to apply your technical skills in a fast-paced, highly collaborative environment, making a meaningful difference in the lives of Amazon's customers. If you have a passion for solving complex problems and a customer-centric approach, we encourage you to apply for this exciting role. Key job responsibilities - Explore the use of reinforcement learning, multi-agent systems, and meta-learning to build autonomous AI agents that can adapt to new challenges and support complex decision-making. - Design and evaluate state-of-the-art algorithms and approaches in risk modeling, using techniques such as graph neural networks, deep learning, and boosted trees to detect anomalies, fraud, and policy violations. - Develop advanced multi-modal and large language models to classify product content, understand customer intent, and retrieve relevant information. - Collaborate closely with product managers, engineers, and business stakeholders to validate hypotheses, drive adoption, and maximize the real-world impact of your work. - Translate complex product and customer experience requirements into well-defined, measurable science problems and KPIs, contributing to Amazon's scientific thought leadership through high-quality research papers. A day in the life - Understanding customer problems, project timelines, and team/project mechanisms - Proposing science formulations and brainstorming ideas with team to solve business problems - Writing code, and running experiments with re-usable science libraries - Reviewing labels and audit results with investigators and operations associates - Sharing science results with science, product and tech partners and customers - Contributing to team retrospectives for continuous improvements - Participating in science research collaborations and attending study groups with scientists across Amazon BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - 7+ years of building machine learning models for business application experience 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 $150,400/year in our lowest geographic market up to $260,000/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.
09/03/2025
Full time
The Amazon Regulatory Intelligence, Safety, and Compliance (RISC) team is seeking an exceptional Applied Scientist to tackle complex compliance challenges. In this high-impact role, you will leverage your deep technical expertise and customer-obsessed mindset to design and evaluate state-of-the-art algorithms in risk modeling, computer vision, and natural language processing. You will translate complex business requirements into well-defined science problems and work collaboratively with product, engineering, and business stakeholders to drive real-world impact. Staying at the forefront of applied machine learning, you will continuously adapt your skills to tackle new challenges. Contributing to Amazon's scientific thought leadership, you will author high-quality research papers for internal and external conferences. This is an opportunity to apply your technical skills in a fast-paced, highly collaborative environment, making a meaningful difference in the lives of Amazon's customers. If you have a passion for solving complex problems and a customer-centric approach, we encourage you to apply for this exciting role. Key job responsibilities - Explore the use of reinforcement learning, multi-agent systems, and meta-learning to build autonomous AI agents that can adapt to new challenges and support complex decision-making. - Design and evaluate state-of-the-art algorithms and approaches in risk modeling, using techniques such as graph neural networks, deep learning, and boosted trees to detect anomalies, fraud, and policy violations. - Develop advanced multi-modal and large language models to classify product content, understand customer intent, and retrieve relevant information. - Collaborate closely with product managers, engineers, and business stakeholders to validate hypotheses, drive adoption, and maximize the real-world impact of your work. - Translate complex product and customer experience requirements into well-defined, measurable science problems and KPIs, contributing to Amazon's scientific thought leadership through high-quality research papers. A day in the life - Understanding customer problems, project timelines, and team/project mechanisms - Proposing science formulations and brainstorming ideas with team to solve business problems - Writing code, and running experiments with re-usable science libraries - Reviewing labels and audit results with investigators and operations associates - Sharing science results with science, product and tech partners and customers - Contributing to team retrospectives for continuous improvements - Participating in science research collaborations and attending study groups with scientists across Amazon BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - 7+ years of building machine learning models for business application experience 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 $150,400/year in our lowest geographic market up to $260,000/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.
As a Senior Applied Scientist for Last Hundred Yards Automation, you will be at the forefront of developing cutting-edge AI and ML solutions that power our autonomous delivery robots. This role combines deep expertise in machine learning, computer vision, and robotics to solve complex challenges in real-world autonomous navigation, obstacle detection, and dynamic path planning. You will work closely with robotics engineers, software developers, and product teams to research, design, and implement sophisticated algorithms that enable safe and efficient last-yard delivery operations. This position requires a unique blend of theoretical knowledge and practical implementation skills, with a focus on transforming research concepts into production-ready solutions that can operate reliably in diverse real-world environments. Key job responsibilities The Senior Applied Scientist will lead the development and implementation of advanced AI/ML models for autonomous navigation, focusing on critical areas such as real-time object detection, semantic scene understanding, and predictive movement planning. You will be responsible for designing and conducting experiments, analyzing complex datasets, and developing novel algorithms to improve robot performance and reliability. The role involves collaborating with cross-functional teams to integrate ML solutions into the robotics platform, optimizing model performance for edge computing, and establishing metrics for continuous improvement. You will also mentor junior scientists, contribute to research publications, and stay current with latest developments in the field. Key activities include developing robust ML pipelines, implementing state-of-the-art deep learning architectures, and creating innovative solutions for challenging problems such as adverse weather navigation, multi-robot coordination, and human-robot interaction. Success in this role requires balancing research excellence with practical implementation, while maintaining a strong focus on safety and reliability in autonomous systems. About the team LMDA (Last Mile Delivery Automation) is a cutting-edge automation system designed to revolutionize the final phase of package delivery, focusing specifically on the last hundred yards from delivery vehicle to customer doorstep. The system integrates autonomous robots equipped with advanced AI/ML algorithms, real-time navigation capabilities, and smart obstacle avoidance technology to efficiently transport packages to their final destination. These robots are designed to navigate various terrains, including sidewalks, building entrances, and residential complexes, while adhering to local safety regulations and maintaining secure delivery protocols. LMDA incorporates cloud-based fleet management, real-time tracking, and dynamic route optimization to ensure seamless coordination between delivery vehicles and robots. The system features a user-friendly interface for both delivery personnel and customers, providing live tracking, delivery notifications, and interactive robot communication. As labor costs rise and delivery volumes increase, LMDA represents a scalable, cost-effective solution that addresses the growing challenges of last-mile delivery while significantly improving operational efficiency and customer satisfaction. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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.
09/03/2025
Full time
As a Senior Applied Scientist for Last Hundred Yards Automation, you will be at the forefront of developing cutting-edge AI and ML solutions that power our autonomous delivery robots. This role combines deep expertise in machine learning, computer vision, and robotics to solve complex challenges in real-world autonomous navigation, obstacle detection, and dynamic path planning. You will work closely with robotics engineers, software developers, and product teams to research, design, and implement sophisticated algorithms that enable safe and efficient last-yard delivery operations. This position requires a unique blend of theoretical knowledge and practical implementation skills, with a focus on transforming research concepts into production-ready solutions that can operate reliably in diverse real-world environments. Key job responsibilities The Senior Applied Scientist will lead the development and implementation of advanced AI/ML models for autonomous navigation, focusing on critical areas such as real-time object detection, semantic scene understanding, and predictive movement planning. You will be responsible for designing and conducting experiments, analyzing complex datasets, and developing novel algorithms to improve robot performance and reliability. The role involves collaborating with cross-functional teams to integrate ML solutions into the robotics platform, optimizing model performance for edge computing, and establishing metrics for continuous improvement. You will also mentor junior scientists, contribute to research publications, and stay current with latest developments in the field. Key activities include developing robust ML pipelines, implementing state-of-the-art deep learning architectures, and creating innovative solutions for challenging problems such as adverse weather navigation, multi-robot coordination, and human-robot interaction. Success in this role requires balancing research excellence with practical implementation, while maintaining a strong focus on safety and reliability in autonomous systems. About the team LMDA (Last Mile Delivery Automation) is a cutting-edge automation system designed to revolutionize the final phase of package delivery, focusing specifically on the last hundred yards from delivery vehicle to customer doorstep. The system integrates autonomous robots equipped with advanced AI/ML algorithms, real-time navigation capabilities, and smart obstacle avoidance technology to efficiently transport packages to their final destination. These robots are designed to navigate various terrains, including sidewalks, building entrances, and residential complexes, while adhering to local safety regulations and maintaining secure delivery protocols. LMDA incorporates cloud-based fleet management, real-time tracking, and dynamic route optimization to ensure seamless coordination between delivery vehicles and robots. The system features a user-friendly interface for both delivery personnel and customers, providing live tracking, delivery notifications, and interactive robot communication. As labor costs rise and delivery volumes increase, LMDA represents a scalable, cost-effective solution that addresses the growing challenges of last-mile delivery while significantly improving operational efficiency and customer satisfaction. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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.
Customers love discovering what is trending, esp. shopping in categories like fashion where customers are looking for inspiration and fashionable styles. Trending products spark curiosity, build confidence, and reassure them they're making smart choices. Highlighting these trending items and brands on Amazon not only satisfies their desire to stay current but also enhances the overall shopping experience, driving deeper engagement. This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. We're looking for a lead Sr. Applied Scientist who can play the thought leadership role for this ML-focused Trends program as well as collaborating with Product leaders, engineering teams and other scientists to deliver scalable solutions with large business and customer impact. Key job responsibilities - Lead complex projects that design and build LLM and ML solutions identifying trending themes and recommendations, as well as AI agents to provide trends insights. - Collaborate with own and partner teams on customer-facing experiences that will utilize the data and ML models to better serve customers discovery needs on trending products and brands. - Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management. - Drive continued scientific innovation as a thought leader and practitioner. - Provide technical and career development guidance to scientists and engineers in the organization. About the team This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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.
09/03/2025
Full time
Customers love discovering what is trending, esp. shopping in categories like fashion where customers are looking for inspiration and fashionable styles. Trending products spark curiosity, build confidence, and reassure them they're making smart choices. Highlighting these trending items and brands on Amazon not only satisfies their desire to stay current but also enhances the overall shopping experience, driving deeper engagement. This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. We're looking for a lead Sr. Applied Scientist who can play the thought leadership role for this ML-focused Trends program as well as collaborating with Product leaders, engineering teams and other scientists to deliver scalable solutions with large business and customer impact. Key job responsibilities - Lead complex projects that design and build LLM and ML solutions identifying trending themes and recommendations, as well as AI agents to provide trends insights. - Collaborate with own and partner teams on customer-facing experiences that will utilize the data and ML models to better serve customers discovery needs on trending products and brands. - Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management. - Drive continued scientific innovation as a thought leader and practitioner. - Provide technical and career development guidance to scientists and engineers in the organization. About the team This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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 At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Research & Technology (BR&T) Disruptive Computing & Networking software capability is seeking a Deputy Software Integrated Product Team (IPT) Lead (Consultant / Sr. Consultant) in El Segundo, CA, Huntington Beach, CA, Annapolis Junction, MD, or Fairfax, VA. The position will involve creating software for world class, next generation disruptive systems and technologies. The selected candidate will work with the Disruptive Computing & Networks (DC&N) product team focused on the concept, requirements, architecture, design and development of a future system. We are looking for people who like to try new things and aren't afraid of a challenge! As part of Boeing's software capability, our engineers use their expertise to dream up next-generation software capabilities for amazing aerospace, satellite, and autonomous platforms. You will collaborate with other world-class scientists, researchers, and engineers innovating on a range of technologies including: Artificial Intelligence & Machine Learning (AI/ML), Advanced Training & Simulation, Production Analytics, Autonomy, Electro-Optical/Infrared Sensing, Cybersecurity, Disruptive Computing & Networks, and High-Fidelity Digital Twin & Virtualization, and much more. Our software products help solve Boeing's most challenging problems across Commercial Airplanes, Defense Space & Security, and Global Services businesses. Projects can range from new cyber security solutions for the revolutionary 787 Dreamliner to innovative aircraft, creating virtual avionics development test environments across several commercial, defense, satellite, and space platforms, satellite payload technologies, and autonomy. Boeing is committed to your development. You will have the opportunity to be trained and equipped with the software technology and tools to be successful. You will be encouraged and resourced to pursue your passions, explore different technology domains, and advance your career. Boeing is the world's largest aerospace company and leading manufacturer of commercial jetliners and defense, space and security systems. Here, you'll work alongside more than 170,000 exceptional people focused on bringing great products and services to market. Located in more than 70 countries, Boeing is comprised of one of the most diverse, talented, and innovative workforces you will find anywhere. More than 140,000 of our people hold degrees from approximately 2,700 colleges and universities worldwide. Their expertise and knowledge represent virtually every business and technical field. By building a career at Boeing, you'll have the opportunity to grow your skills, create relationships around the world and help shape the future of aerospace. Position Responsibilities • Assist the Software IPT lead in managing the team, providing guidance, and ensuring that team members execute their tasks effectively. • Establish required management systems and provide leadership to assure the effective performance of work, close monitoring of cost and schedule, and take timely and effective corrective action. • Provide, directly or indirectly, top-level technical leadership for the assigned design discipline(s), including selection and exploitation of promising new technologies and long-term goals. • Provide technical direction and support to team members, helping to resolve technical challenges and ensuring adherence to best practices in software development. • Act as a liaison between the software team and other stakeholders, including management, clients, and other departments, to ensure clear communication and alignment on project goals. • Establish communication to keep management informed of the team's progress and results. • Ensure effective communication among engineers, management, and all other participants in the architecture and design process. • Help monitor team performance and productivity, providing feedback and support to improve efficiency and effectiveness. • Identify potential risks to the project and work with the team to develop mitigation strategies. This position is onsite. This means that the selected candidate will be required to perform work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future. Basic Qualifications (Required Skill/Experience): • 10+ years of experience in managing or leading a team in the software development discipline • 10+ or more years of experience developing and debugging software using high level programming languages (C and C++) • 5+ years of experience estimating costs and developing schedules meeting EVM requirements • 5+ years of experience analyzing data and developing metrics to track performance to plan for a business/organization • 5+ years of experience with Agile development methodologies • Experience acting in the Agile (Scrum) leadership roles of Project Manager, Product Owner and/or Scrum Master Preferred Qualifications (Desired Skills/Experience): • Active Top Secret/SCI Security Clearance • Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science • 1+ years of experience as a Cost Account Manager (CAM) or experience creating estimates • Proficiency in software metrics tools and methodologies (e.g., Agile metrics, code quality metrics, performance metrics). • Experience with new product development with small, agile teams on fast-paced, dynamic customer-funded programs • Experience using GitLab Typical Education/Experience: Consultant (Level 5) Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+9 years' related work experience, Master years' related work experience). In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Senior Consultant (Level 6) Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 20 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD years' related work experience, Master years' related work experience). In the USA, ABET accreditation is the preferred, although not required, accreditation standard Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range / Senior: $167,450 - 226,550 Summary Pay Range / Lead: $193,800 - 262,200 Applications for this position will be accepted until Sept. 04, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender . click apply for full job details
09/02/2025
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Research & Technology (BR&T) Disruptive Computing & Networking software capability is seeking a Deputy Software Integrated Product Team (IPT) Lead (Consultant / Sr. Consultant) in El Segundo, CA, Huntington Beach, CA, Annapolis Junction, MD, or Fairfax, VA. The position will involve creating software for world class, next generation disruptive systems and technologies. The selected candidate will work with the Disruptive Computing & Networks (DC&N) product team focused on the concept, requirements, architecture, design and development of a future system. We are looking for people who like to try new things and aren't afraid of a challenge! As part of Boeing's software capability, our engineers use their expertise to dream up next-generation software capabilities for amazing aerospace, satellite, and autonomous platforms. You will collaborate with other world-class scientists, researchers, and engineers innovating on a range of technologies including: Artificial Intelligence & Machine Learning (AI/ML), Advanced Training & Simulation, Production Analytics, Autonomy, Electro-Optical/Infrared Sensing, Cybersecurity, Disruptive Computing & Networks, and High-Fidelity Digital Twin & Virtualization, and much more. Our software products help solve Boeing's most challenging problems across Commercial Airplanes, Defense Space & Security, and Global Services businesses. Projects can range from new cyber security solutions for the revolutionary 787 Dreamliner to innovative aircraft, creating virtual avionics development test environments across several commercial, defense, satellite, and space platforms, satellite payload technologies, and autonomy. Boeing is committed to your development. You will have the opportunity to be trained and equipped with the software technology and tools to be successful. You will be encouraged and resourced to pursue your passions, explore different technology domains, and advance your career. Boeing is the world's largest aerospace company and leading manufacturer of commercial jetliners and defense, space and security systems. Here, you'll work alongside more than 170,000 exceptional people focused on bringing great products and services to market. Located in more than 70 countries, Boeing is comprised of one of the most diverse, talented, and innovative workforces you will find anywhere. More than 140,000 of our people hold degrees from approximately 2,700 colleges and universities worldwide. Their expertise and knowledge represent virtually every business and technical field. By building a career at Boeing, you'll have the opportunity to grow your skills, create relationships around the world and help shape the future of aerospace. Position Responsibilities • Assist the Software IPT lead in managing the team, providing guidance, and ensuring that team members execute their tasks effectively. • Establish required management systems and provide leadership to assure the effective performance of work, close monitoring of cost and schedule, and take timely and effective corrective action. • Provide, directly or indirectly, top-level technical leadership for the assigned design discipline(s), including selection and exploitation of promising new technologies and long-term goals. • Provide technical direction and support to team members, helping to resolve technical challenges and ensuring adherence to best practices in software development. • Act as a liaison between the software team and other stakeholders, including management, clients, and other departments, to ensure clear communication and alignment on project goals. • Establish communication to keep management informed of the team's progress and results. • Ensure effective communication among engineers, management, and all other participants in the architecture and design process. • Help monitor team performance and productivity, providing feedback and support to improve efficiency and effectiveness. • Identify potential risks to the project and work with the team to develop mitigation strategies. This position is onsite. This means that the selected candidate will be required to perform work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future. Basic Qualifications (Required Skill/Experience): • 10+ years of experience in managing or leading a team in the software development discipline • 10+ or more years of experience developing and debugging software using high level programming languages (C and C++) • 5+ years of experience estimating costs and developing schedules meeting EVM requirements • 5+ years of experience analyzing data and developing metrics to track performance to plan for a business/organization • 5+ years of experience with Agile development methodologies • Experience acting in the Agile (Scrum) leadership roles of Project Manager, Product Owner and/or Scrum Master Preferred Qualifications (Desired Skills/Experience): • Active Top Secret/SCI Security Clearance • Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science • 1+ years of experience as a Cost Account Manager (CAM) or experience creating estimates • Proficiency in software metrics tools and methodologies (e.g., Agile metrics, code quality metrics, performance metrics). • Experience with new product development with small, agile teams on fast-paced, dynamic customer-funded programs • Experience using GitLab Typical Education/Experience: Consultant (Level 5) Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+9 years' related work experience, Master years' related work experience). In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Senior Consultant (Level 6) Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 20 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD years' related work experience, Master years' related work experience). In the USA, ABET accreditation is the preferred, although not required, accreditation standard Travel: 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range / Senior: $167,450 - 226,550 Summary Pay Range / Lead: $193,800 - 262,200 Applications for this position will be accepted until Sept. 04, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender . click apply for full job details
Senior Machine Learning Engineer - BLAW/BGOV/BTAX Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg Law, Tax & Government (BLAW/BTAX/BGOV) delivers AI-powered solutions that integrate trusted editorial content and billions of documents and data points into the workflows of legal, tax, accounting, and government professionals. Our mission is to be an indispensable resource, empowering our users to make faster, smarter decisions and better serve their clients and constituents. The Information Enrichment & Content Generation (IECG) Team builds scalable ML solutions for two key areas: Information Enrichment: Traditional NLP use-cases such as Named Entity Recognition/Disambiguation, classification, topical modeling etc. Content Generation: Generative use-cases such as Summarization, Drafting new documents, Generating legal insights, on-point recommendation systems etc. We are currently focused on developing advanced research and drafting tools designed to speed up those tasks for our customers by letting AI do the heavy-lifting. These tools let users upload a document, then automatically classify it, structure its contents and analyze the text by identifying topics, extracting entities and suggesting highly relevant references. Some of the specific problems we are working on this year include extracting pragmatics & judicial reasoning of legal cases, drafting legal contracts, analyzing the congressional budget along with government's actual spending and generating insights to support tax positions. To solve these, we apply a range of ML/NLP techniques including statistical models, deep neural networks, language models & third-party generative LLMs. We work closely with product managers, software engineers and domain experts in an agile environment. In general, Machine Learning projects have an intrinsic dose of uncertainty, so a good fit for our team is a person who is self-driven, proactive, comfortable dealing with uncertainty and ambiguity in task definition. We're a highly collaborative team, both internally and across other teams, so being a teammate and an effective communicator are important for success in our team. What's in it for you: As part of our team, you will be developing machine learning (ML) models to address our business needs. You will drive, design and develop machine learning solutions. The right combination of cross-field ML techniques, deep understanding of the business problem and high-quality training data is fundamental to our models producing high quality models for our clients' needs. You will collaborate with product managers and domain experts to understand business problems and translate those into appropriate ML problems. You will research groundbreaking ML/NLP techniques and apply them to our business problems. You will collaborate with domain experts to gain valuable insights and use their expertise to get high quality annotated training data. You will work closely with data engineers and front-end engineers to integrate your ML solutions into our products. You will also have the opportunity to work directly with academia, leading research centers as well as to publish your work at conferences. Legal NLP is an exciting and rapidly evolving field. If you are interested in working with a highly collaborative team to develop innovative solutions and make a big impact, please apply! We'll trust you to: - Drive, design & develop ML projects as the principal point-of-contact - Collaborate with domain experts and product managers to understand business needs and map business problems to ML Problems - Learn groundbreaking research in advanced ML & NLP topics and design ML/AI solutions for the problems - Develop tailored ML/AI prediction models for our domain - Use metrics to make data-driven decisions - Write and maintain production-quality code - Collaborate with AI platform engineers on model maintenance and rollout - Manage stakeholders' expectations throughout the project on model development and release You'll need to have: - 4+ years of experience in Python - Proven delivery of production NLP systems - Intuition to formulate an ML problem from a business problem - Master's or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience We'd love to see: - Knowledge of advanced concepts such as weakly supervised learning, reinforcement learning, semantic search, knowledge-graph construction - Authored research publications, participation in ML competitions, working demos/repos - Experience with distributed computational frameworks (Spark, Hadoop, Kubernetes, Databricks) - Curiosity to learn more about the legal, tax or government domain (prior experience is not required) - Familiarity with traditional statistical methods, modern deep learning frameworks, prompting LLMs, RAG, vector search - Experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance Salary Range = 165000 - 260000 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.
09/01/2025
Full time
Senior Machine Learning Engineer - BLAW/BGOV/BTAX Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg Law, Tax & Government (BLAW/BTAX/BGOV) delivers AI-powered solutions that integrate trusted editorial content and billions of documents and data points into the workflows of legal, tax, accounting, and government professionals. Our mission is to be an indispensable resource, empowering our users to make faster, smarter decisions and better serve their clients and constituents. The Information Enrichment & Content Generation (IECG) Team builds scalable ML solutions for two key areas: Information Enrichment: Traditional NLP use-cases such as Named Entity Recognition/Disambiguation, classification, topical modeling etc. Content Generation: Generative use-cases such as Summarization, Drafting new documents, Generating legal insights, on-point recommendation systems etc. We are currently focused on developing advanced research and drafting tools designed to speed up those tasks for our customers by letting AI do the heavy-lifting. These tools let users upload a document, then automatically classify it, structure its contents and analyze the text by identifying topics, extracting entities and suggesting highly relevant references. Some of the specific problems we are working on this year include extracting pragmatics & judicial reasoning of legal cases, drafting legal contracts, analyzing the congressional budget along with government's actual spending and generating insights to support tax positions. To solve these, we apply a range of ML/NLP techniques including statistical models, deep neural networks, language models & third-party generative LLMs. We work closely with product managers, software engineers and domain experts in an agile environment. In general, Machine Learning projects have an intrinsic dose of uncertainty, so a good fit for our team is a person who is self-driven, proactive, comfortable dealing with uncertainty and ambiguity in task definition. We're a highly collaborative team, both internally and across other teams, so being a teammate and an effective communicator are important for success in our team. What's in it for you: As part of our team, you will be developing machine learning (ML) models to address our business needs. You will drive, design and develop machine learning solutions. The right combination of cross-field ML techniques, deep understanding of the business problem and high-quality training data is fundamental to our models producing high quality models for our clients' needs. You will collaborate with product managers and domain experts to understand business problems and translate those into appropriate ML problems. You will research groundbreaking ML/NLP techniques and apply them to our business problems. You will collaborate with domain experts to gain valuable insights and use their expertise to get high quality annotated training data. You will work closely with data engineers and front-end engineers to integrate your ML solutions into our products. You will also have the opportunity to work directly with academia, leading research centers as well as to publish your work at conferences. Legal NLP is an exciting and rapidly evolving field. If you are interested in working with a highly collaborative team to develop innovative solutions and make a big impact, please apply! We'll trust you to: - Drive, design & develop ML projects as the principal point-of-contact - Collaborate with domain experts and product managers to understand business needs and map business problems to ML Problems - Learn groundbreaking research in advanced ML & NLP topics and design ML/AI solutions for the problems - Develop tailored ML/AI prediction models for our domain - Use metrics to make data-driven decisions - Write and maintain production-quality code - Collaborate with AI platform engineers on model maintenance and rollout - Manage stakeholders' expectations throughout the project on model development and release You'll need to have: - 4+ years of experience in Python - Proven delivery of production NLP systems - Intuition to formulate an ML problem from a business problem - Master's or PhD in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience We'd love to see: - Knowledge of advanced concepts such as weakly supervised learning, reinforcement learning, semantic search, knowledge-graph construction - Authored research publications, participation in ML competitions, working demos/repos - Experience with distributed computational frameworks (Spark, Hadoop, Kubernetes, Databricks) - Curiosity to learn more about the legal, tax or government domain (prior experience is not required) - Familiarity with traditional statistical methods, modern deep learning frameworks, prompting LLMs, RAG, vector search - Experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance Salary Range = 165000 - 260000 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.
RWJBarnabas Health Corporate Services
West Orange, New Jersey
Job Title: Sr Decision Support Analyst Location: Barnabas Health Corp Department: Financial Data and Reporting Req#: Status: Full-Time Shift: Day Pay Range: $75,597.00 - $106,780.00 per year Pay Transparency: The above reflects the anticipated annual wage range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Overview: The Senior Business Analyst, Decision Support provides RWJBH financial and operational analysis, to enable management to make informed decisions. The Sr. Business Analyst, Decision Support will wrangle large complex data sets, leveraging machine learning models, performance analytics tools and other analytics applications to monitor/aid RWJBH strategic initiatives. This position will collect data, conduct appropriate statistical data analyses, verify data accuracy, investigative design, develop dashboards and reports using variety of software tools to measure and trend key performance metrics and present results in an analytical manner for broad audience. Corporate areas supported by this position include, Service Line performance, Strategic Planning initiatives, Compliance, Managed Care Payor performance, Regulatory reporting, Supply Chain initiatives, Purchasing Contract initiatives, and Revenue capture and resource utilization. Analyses include: Responsible for the design and development of on-going Tableau visualizations to support new corporate initiatives, ensuring standardization of criteria across all facilities, efficiency of report design, and complete documentation of process, to facilitate routine updates and cross training to other members of the team. Development and on-going support of Service line performance dashboards and Enterprise-wide Daily Monitor, providing Year over Year and trending analyses of actual and budgeted volumes, cost per case, contribution margin and complications. Working with data extracts from DSS data warehouse to support 3rd party specifications, incorporating automation, reconciliation and audit steps and appropriate secure file transfer processes. Respond to data requests in a timely manner, ensuring appropriate and relevant data is provided in accordance with security and data governance policies. Reconciliation of volumes, charges, net revenue and expenses, ensuring accuracy of reports and system data integrity. Assists with data integrity analyses to ensure accuracy of data within the decision support data warehouse, by auditing results to source system. This position reports to the Manager of Financial Data & Reporting and will work closely with members of the Decision Support team. This position will be hybrid remote, working from home and travel between the RWJBarnabas Health locations may be required. Requirements: Bachelor's degree in Finance/Accounting/Statistics/Engineering or 5-7 years' experience in data analytics, advanced statistical analysis, or predictive analytics required; or an equivalent combination of education and/or experience in Healthcare Industry. Master's degree a plus. Proficient with Patient Accounting billing data and clinical terminology, essential to appropriately analyze patient populations and service line performance. Hospital billing system knowledge, such as EPIC, a plus. Strong experience with structured data and relational databases, and familiarity with unstructured data. High level of proficiency in Tableau for the development of complex, interactive dashboards. Experience with SQL programming software, such as SQL Server, MS Access, Snowflake, and Oracle. Ability to investigate, organize, and merge data from different sources into a single data structure. Hands on experience with data mining, predictive modeling, and machine learning. Experience with Decision Support Analytics tools or ETL/BI tools required (Informatica, SSIS, SSRS, Crystal Reports, Tableau, Power BI, etc.). Experience with using automation/robotics/macros to support business operations Microsoft Office experience with advanced working knowledge of Microsoft Excel, required. Familiarity with programming and/or scripting languages (VBS/VBA, Python, Windows Batch, C, C++, API, etc.) preferred Must be detail-oriented and demonstrate ability to analyze large amounts of data, perform complex analyses for strategic and research projects and present a meaningful format. Responsibilities: Distill complex data into actionable insights that empower others to drive operational strategic initiatives. Design, build, and extract large and complex data sets, including both structured and unstructured data, while thinking strategically about uses of data and how data use interacts with data design. Build, test, and implement machine learning models to aid performance improvement and strategic initiatives by investigating appropriate methods and algorithms. Deliver intelligence and insights to stakeholders within a specified timeframe by applying and demonstrating expertise in the areas of advanced analytics, machine learning, forecasting, data wrangling, and predictive modeling. Evaluate data quality and provide support to data governance activities. Benefits and Perks : At RWJBarnabas Health, our employees are at the heart of everything we do. Driven by our Total Wellbeing promise, our market-competitive offerings include comprehensive benefits and resources to support our employees' physical, emotional, financial, personal, career, and community wellbeing. These benefits and resources include, but are not limited to: Paid Time Off including Vacation, Holidays, and Sick Time Retirement Plans Medical and Prescription Drug Insurance Dental and Vision Insurance Disability and Life Insurance Paid Parental Leave Tuition Reimbursement Student Loan Planning Support Flexible Spending Accounts Wellness Programs Voluntary Benefits (e.g., Pet Insurance) Community and Volunteer Opportunities Discounts Through our Partners such as NJ Devils, NJ PAC, and Verizon .and more! Choosing RWJBarnabas Health! RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey-whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer
09/01/2025
Full time
Job Title: Sr Decision Support Analyst Location: Barnabas Health Corp Department: Financial Data and Reporting Req#: Status: Full-Time Shift: Day Pay Range: $75,597.00 - $106,780.00 per year Pay Transparency: The above reflects the anticipated annual wage range for this position if hired to work in New Jersey. The compensation offered to the candidate selected for the position will depend on several factors, including the candidate's educational background, skills and professional experience. Overview: The Senior Business Analyst, Decision Support provides RWJBH financial and operational analysis, to enable management to make informed decisions. The Sr. Business Analyst, Decision Support will wrangle large complex data sets, leveraging machine learning models, performance analytics tools and other analytics applications to monitor/aid RWJBH strategic initiatives. This position will collect data, conduct appropriate statistical data analyses, verify data accuracy, investigative design, develop dashboards and reports using variety of software tools to measure and trend key performance metrics and present results in an analytical manner for broad audience. Corporate areas supported by this position include, Service Line performance, Strategic Planning initiatives, Compliance, Managed Care Payor performance, Regulatory reporting, Supply Chain initiatives, Purchasing Contract initiatives, and Revenue capture and resource utilization. Analyses include: Responsible for the design and development of on-going Tableau visualizations to support new corporate initiatives, ensuring standardization of criteria across all facilities, efficiency of report design, and complete documentation of process, to facilitate routine updates and cross training to other members of the team. Development and on-going support of Service line performance dashboards and Enterprise-wide Daily Monitor, providing Year over Year and trending analyses of actual and budgeted volumes, cost per case, contribution margin and complications. Working with data extracts from DSS data warehouse to support 3rd party specifications, incorporating automation, reconciliation and audit steps and appropriate secure file transfer processes. Respond to data requests in a timely manner, ensuring appropriate and relevant data is provided in accordance with security and data governance policies. Reconciliation of volumes, charges, net revenue and expenses, ensuring accuracy of reports and system data integrity. Assists with data integrity analyses to ensure accuracy of data within the decision support data warehouse, by auditing results to source system. This position reports to the Manager of Financial Data & Reporting and will work closely with members of the Decision Support team. This position will be hybrid remote, working from home and travel between the RWJBarnabas Health locations may be required. Requirements: Bachelor's degree in Finance/Accounting/Statistics/Engineering or 5-7 years' experience in data analytics, advanced statistical analysis, or predictive analytics required; or an equivalent combination of education and/or experience in Healthcare Industry. Master's degree a plus. Proficient with Patient Accounting billing data and clinical terminology, essential to appropriately analyze patient populations and service line performance. Hospital billing system knowledge, such as EPIC, a plus. Strong experience with structured data and relational databases, and familiarity with unstructured data. High level of proficiency in Tableau for the development of complex, interactive dashboards. Experience with SQL programming software, such as SQL Server, MS Access, Snowflake, and Oracle. Ability to investigate, organize, and merge data from different sources into a single data structure. Hands on experience with data mining, predictive modeling, and machine learning. Experience with Decision Support Analytics tools or ETL/BI tools required (Informatica, SSIS, SSRS, Crystal Reports, Tableau, Power BI, etc.). Experience with using automation/robotics/macros to support business operations Microsoft Office experience with advanced working knowledge of Microsoft Excel, required. Familiarity with programming and/or scripting languages (VBS/VBA, Python, Windows Batch, C, C++, API, etc.) preferred Must be detail-oriented and demonstrate ability to analyze large amounts of data, perform complex analyses for strategic and research projects and present a meaningful format. Responsibilities: Distill complex data into actionable insights that empower others to drive operational strategic initiatives. Design, build, and extract large and complex data sets, including both structured and unstructured data, while thinking strategically about uses of data and how data use interacts with data design. Build, test, and implement machine learning models to aid performance improvement and strategic initiatives by investigating appropriate methods and algorithms. Deliver intelligence and insights to stakeholders within a specified timeframe by applying and demonstrating expertise in the areas of advanced analytics, machine learning, forecasting, data wrangling, and predictive modeling. Evaluate data quality and provide support to data governance activities. Benefits and Perks : At RWJBarnabas Health, our employees are at the heart of everything we do. Driven by our Total Wellbeing promise, our market-competitive offerings include comprehensive benefits and resources to support our employees' physical, emotional, financial, personal, career, and community wellbeing. These benefits and resources include, but are not limited to: Paid Time Off including Vacation, Holidays, and Sick Time Retirement Plans Medical and Prescription Drug Insurance Dental and Vision Insurance Disability and Life Insurance Paid Parental Leave Tuition Reimbursement Student Loan Planning Support Flexible Spending Accounts Wellness Programs Voluntary Benefits (e.g., Pet Insurance) Community and Volunteer Opportunities Discounts Through our Partners such as NJ Devils, NJ PAC, and Verizon .and more! Choosing RWJBarnabas Health! RWJBarnabas Health is the premier health care destination providing patient-centered, high-quality academic medicine in a compassionate and equitable manner, while delivering a best-in-class work experience to every member of the team. We honor and appreciate the privilege of creating and sustaining healthier communities, one person and one community at a time. As the leading academic health system in New Jersey, we advance innovative strategies in high-quality patient care, education, and research to address both the clinical and social determinants of health. RWJBarnabas Health aims to truly make a unique impact in local communities throughout New Jersey. From vastly improving the health of local residents to creating educational and career opportunities, this combination greatly benefits the state. We understand the growing and evolving needs of residents in New Jersey-whether that be enhancing the coordination for treating complex health conditions or improving community health through local programs and education. Equal Opportunity Employer
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people! Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world! NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets. What you'll be doing: Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning Work with our sales organization to develop effective sales collateral and tools What we need to see: 6+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus. Demonstrated ability to fully contribute in one or more of the areas above within 3 months Knowledge of, and capable of explaining GPU, software and computing architectures Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs Ways to stand out from the crowd: Direct experience in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference Strong background in building or leading cloud computing infrastructure and technologies Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 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.
09/01/2025
Full time
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people! Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world! NVIDIA's Accelerated Computing team sits is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center. We are a small, dynamic, and motivated team that defines the next generation of products for these high growth markets. What you'll be doing: Develop a deep understanding of datacenter workloads and applications, especially around Large Language Models, for training and inference Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals Work cross functionally with our partners, engineering, operations & field teams to develop comprehensive product go to market plans and product positioning Work with our sales organization to develop effective sales collateral and tools What we need to see: 6+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus. Demonstrated ability to fully contribute in one or more of the areas above within 3 months Knowledge of, and capable of explaining GPU, software and computing architectures Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs Ways to stand out from the crowd: Direct experience in developing or deploying large scale GPU based AI applications, like Large Language Model, for training and inference Strong background in building or leading cloud computing infrastructure and technologies Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 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.
At Boston Fusion, we recognize diversity is the catalyst for limitless creativity. As a Principal Research Scientist for Boston Fusion, you will have the opportunity to utilize your knowledge of scientific research and software engineering best practices to contribute and drive research efforts in development of systems core to the success of future Intelligence, Surveillance, and Reconnaissance (ISR) activities. This role will lead technical teams as a Principal Investigator, lead and contribute to proposal efforts, and collaborate with project teams to solve complex technical problems that support national security. Every day, we go above and beyond to solve complex problems, making a difference for our nation. We do this by bringing together smart, curious people with diverse life experiences who collaborate creatively to achieve innovative technological breakthroughs. We are proudly building a work environment where you can bring your authentic self to work. Due to the nature of our project work, we can only consider candidates with a current US Citizenship. Day to Day Responsibilities Lead proposal/business capture teams to shape, write and review proposals Interface with customers, including travel, to shape marketing efforts and effectively communicate technical results Investigate fundamental topics in a scientific field such as signal processing, artificial intelligence, machine learning, data science, physics and/or math Lead teams of two or more Scientists, Engineers, and Programmers, including identifying, assigning, and completing research and development tasks appropriate to each member of the team Provide strategic leadership role in working with a project / proposal team to identify the research approach, hypotheses to be tested, and program milestones to achieve all program objectives Facilitate collaboration in large, complex teams to ensure resulting technology (algorithms, software, frameworks) achieves all research objectives Select, improve, or design computational models Identify relevant research approaches, hypotheses to be tested, and program milestones to achieve all program objectives with project and/or proposal teams Provide scientific, technical and software design support to projects and proposals Design statistically valid experiments to test and validate resulting computational models Provide leadership and guidance in the analysis of results of the experiments using sound scientific principles Design experiments to test and validate computational models Establish and maintain a professional rapport with all project stakeholders (internal and external) Additional project and proposal duties as assigned Additional Responsibilities Occasional travel to attend and present at customer meetings and essential industry conferences Prepare technical briefing materials/summarize technical work and progress of projects Collaborate with company leadership and senior technical staff to conduct proposal research and proposal writing Publish technical reports based on original or improved algorithms created to solve the application challenges Maintain high standards at work, continuously looking for solutions to improve processes and products Develop, maintain, and strengthen partnerships with others inside and outside the organization to achieve Boston Fusion business goals Demonstrate personal accountability, effective work habits, integrity, and ethical behavior that align with Boston Fusion corporate values May perform other duties as required This Job is Right for You if you Have: Master's degree in cognitive sciences, engineering, mathematics, physics, or related field, with 13+ years of experience; PhD with 10+ years of experience Excellent analytical and problem-solving skills Ability to prioritize and manage time effectively Excellent communication, writing and presentation skills Ability to work both collaboratively and independently Demonstrates strong competency in every category and a mastery of at least one category Demonstrated competency in AI/ML, and/or signal processing and/or human-machine systems, and/or cognitive sciences, or social sciences, and/or computer vision, or other technical discipline Experience implementing modeling and analysis techniques, including machine learning and probabilistic modelling etc Understanding of mathematical principles which underlie these modeling methods Experience in implementing algorithms in standard programming languages such as Python, Java, C++ Experience in using sound software development techniques, e.g., testing, documentation, source control Preferred Technical Qualifications Classical applied probabilistic, mathematical, and/or artificial intelligence methods (planning, searching, logic, uncertain knowledge, probabilistic reasoning, natural language processing) Radar signal processing techniques Machine learning frameworks (e.g., Scikit-learn, Tensorflow, PyTorch, Keras) and concepts (e.g., supervised, unsupervised, active, and reinforcement learning; neural networks; generative, discriminative models) Preferred Domain Knowledge Experience applying technology to US Department of Defense and/or Intelligence Community problems, including but not limited to the following: intelligence analysis, command and control, logistics, ISR, information operations, missile defense, operations in the cyber, space, or maritime domains 8+ years of experience in a research leadership role Work Authorization/Security Clearance Requirements U.S. citizenship (REQUIRED) and DoD security clearance (PREFERRED) PI7bdb527a781e-7946
09/01/2025
Full time
At Boston Fusion, we recognize diversity is the catalyst for limitless creativity. As a Principal Research Scientist for Boston Fusion, you will have the opportunity to utilize your knowledge of scientific research and software engineering best practices to contribute and drive research efforts in development of systems core to the success of future Intelligence, Surveillance, and Reconnaissance (ISR) activities. This role will lead technical teams as a Principal Investigator, lead and contribute to proposal efforts, and collaborate with project teams to solve complex technical problems that support national security. Every day, we go above and beyond to solve complex problems, making a difference for our nation. We do this by bringing together smart, curious people with diverse life experiences who collaborate creatively to achieve innovative technological breakthroughs. We are proudly building a work environment where you can bring your authentic self to work. Due to the nature of our project work, we can only consider candidates with a current US Citizenship. Day to Day Responsibilities Lead proposal/business capture teams to shape, write and review proposals Interface with customers, including travel, to shape marketing efforts and effectively communicate technical results Investigate fundamental topics in a scientific field such as signal processing, artificial intelligence, machine learning, data science, physics and/or math Lead teams of two or more Scientists, Engineers, and Programmers, including identifying, assigning, and completing research and development tasks appropriate to each member of the team Provide strategic leadership role in working with a project / proposal team to identify the research approach, hypotheses to be tested, and program milestones to achieve all program objectives Facilitate collaboration in large, complex teams to ensure resulting technology (algorithms, software, frameworks) achieves all research objectives Select, improve, or design computational models Identify relevant research approaches, hypotheses to be tested, and program milestones to achieve all program objectives with project and/or proposal teams Provide scientific, technical and software design support to projects and proposals Design statistically valid experiments to test and validate resulting computational models Provide leadership and guidance in the analysis of results of the experiments using sound scientific principles Design experiments to test and validate computational models Establish and maintain a professional rapport with all project stakeholders (internal and external) Additional project and proposal duties as assigned Additional Responsibilities Occasional travel to attend and present at customer meetings and essential industry conferences Prepare technical briefing materials/summarize technical work and progress of projects Collaborate with company leadership and senior technical staff to conduct proposal research and proposal writing Publish technical reports based on original or improved algorithms created to solve the application challenges Maintain high standards at work, continuously looking for solutions to improve processes and products Develop, maintain, and strengthen partnerships with others inside and outside the organization to achieve Boston Fusion business goals Demonstrate personal accountability, effective work habits, integrity, and ethical behavior that align with Boston Fusion corporate values May perform other duties as required This Job is Right for You if you Have: Master's degree in cognitive sciences, engineering, mathematics, physics, or related field, with 13+ years of experience; PhD with 10+ years of experience Excellent analytical and problem-solving skills Ability to prioritize and manage time effectively Excellent communication, writing and presentation skills Ability to work both collaboratively and independently Demonstrates strong competency in every category and a mastery of at least one category Demonstrated competency in AI/ML, and/or signal processing and/or human-machine systems, and/or cognitive sciences, or social sciences, and/or computer vision, or other technical discipline Experience implementing modeling and analysis techniques, including machine learning and probabilistic modelling etc Understanding of mathematical principles which underlie these modeling methods Experience in implementing algorithms in standard programming languages such as Python, Java, C++ Experience in using sound software development techniques, e.g., testing, documentation, source control Preferred Technical Qualifications Classical applied probabilistic, mathematical, and/or artificial intelligence methods (planning, searching, logic, uncertain knowledge, probabilistic reasoning, natural language processing) Radar signal processing techniques Machine learning frameworks (e.g., Scikit-learn, Tensorflow, PyTorch, Keras) and concepts (e.g., supervised, unsupervised, active, and reinforcement learning; neural networks; generative, discriminative models) Preferred Domain Knowledge Experience applying technology to US Department of Defense and/or Intelligence Community problems, including but not limited to the following: intelligence analysis, command and control, logistics, ISR, information operations, missile defense, operations in the cyber, space, or maritime domains 8+ years of experience in a research leadership role Work Authorization/Security Clearance Requirements U.S. citizenship (REQUIRED) and DoD security clearance (PREFERRED) PI7bdb527a781e-7946
Senior LLM Infrastructure Engineer - Artificial Intelligence Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 300+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities in our products. As a Senior LLM Engineer in the AI Department, you will have the opportunity to make key technical decisions which help define the future of infrastructure for LLM training and inference at Bloomberg! Join the AI Department as a Senior LLM Engineer and you will have the opportunity to: Build production LLM systems to power business functions in the Bloomberg Terminal Optimize and support LLM workloads in on-prem HPC and cloud environments Contribute to internal initiatives related to LLM research and development Work with specialized hardware for tensor computations You'll need to have: 4+ years of programming experience with an object-oriented programming language A degree in Computer Science, Engineering or similar field of study or equivalent work experience Experience in designing, developing, and supporting ML applications Understanding of ML model architectures, specifically, transformers, and underlying computations Experience in profiling, benchmarking and optimizing ML applications We'd love to see: Deep working proficiency in Python Experience in using HPC compute platforms and understanding anatomy of distributed computations Proficiency with various ML accelerators (NVIDIA GPUs, TPUs, other vendor ASICs) and building efficient workloads for them Solid understanding of networking (Infiniband, AWS EFA, RoCE) Experience managing infrastructure in Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). We give back to the technology community and you can read more about our outreach at: Salary Range = 165000 - 260000 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.
09/01/2025
Full time
Senior LLM Infrastructure Engineer - Artificial Intelligence Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 300+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets. Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities in our products. As a Senior LLM Engineer in the AI Department, you will have the opportunity to make key technical decisions which help define the future of infrastructure for LLM training and inference at Bloomberg! Join the AI Department as a Senior LLM Engineer and you will have the opportunity to: Build production LLM systems to power business functions in the Bloomberg Terminal Optimize and support LLM workloads in on-prem HPC and cloud environments Contribute to internal initiatives related to LLM research and development Work with specialized hardware for tensor computations You'll need to have: 4+ years of programming experience with an object-oriented programming language A degree in Computer Science, Engineering or similar field of study or equivalent work experience Experience in designing, developing, and supporting ML applications Understanding of ML model architectures, specifically, transformers, and underlying computations Experience in profiling, benchmarking and optimizing ML applications We'd love to see: Deep working proficiency in Python Experience in using HPC compute platforms and understanding anatomy of distributed computations Proficiency with various ML accelerators (NVIDIA GPUs, TPUs, other vendor ASICs) and building efficient workloads for them Solid understanding of networking (Infiniband, AWS EFA, RoCE) Experience managing infrastructure in Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). We give back to the technology community and you can read more about our outreach at: Salary Range = 165000 - 260000 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 Quantitative Engineer - Fixed Income - Artificial Intelligence Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced fixed income domain, you'll design and implement advanced models that leverages modern ML and statistical techniques on top of novel technology stacks and vast data sources to price accurately millions of securities. We are heavily invested in data-driven solutions that combine statistical and machine learning solutions to price diverse asset classes, with a strong focus on Fixed Income. Building on the success of modern ML-based pricing solutions such as IBVAL, we are expanding our group to tackle more ambitious challenges in fixed income modeling. In this role, you will contribute novel modeling ideas and bring them to life by writing clean, modular, production-quality code for cloud-native environments, ensuring your work makes a tangible impact. We seek highly multifaceted skilled individuals with expertise in Fixed Income modeling, interest rate theory, credit risk, or advanced statistical/machine learning techniques to join our team. You'll have the opportunity to: Develop, build and evaluate statistical and Machine Learning models that directly influence how global markets price fixed income assets. Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems. Design new architectures, systems and approaches to power the pricing capabilities of Bloomberg. Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovations. Represent Bloomberg at scientific and industry conferences, and publish research findings through documentation, whitepapers, or in leading academic journals and conferences. You'll need to have: 3+ years of relevant work experience with Machine Learning or Statistical Modeling techniques in the financial industry ideally around asset valuation. Ph.D. or M.Sc. with equivalent research experience in Machine Learning, Computer Science, Mathematics, Statistics or a related field. Thriving in solving challenging, often ill-defined problems where off-the-shelf solutions fall short, and bring a creative, rigorous approach to developing novel methods and technologies. Proven track record designing, building, evaluating and maintaining statistical or Machine Learning solutions on Production. Proficiency in software engineering with an understanding of Computer Science fundamentals such as data structures and algorithms. Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders. A track record of authoring publications in top conferences and journals is a strong plus Salary Range = 165000 - 260000 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.
09/01/2025
Full time
Senior Quantitative Engineer - Fixed Income - Artificial Intelligence Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that shape global markets. In our fast-paced fixed income domain, you'll design and implement advanced models that leverages modern ML and statistical techniques on top of novel technology stacks and vast data sources to price accurately millions of securities. We are heavily invested in data-driven solutions that combine statistical and machine learning solutions to price diverse asset classes, with a strong focus on Fixed Income. Building on the success of modern ML-based pricing solutions such as IBVAL, we are expanding our group to tackle more ambitious challenges in fixed income modeling. In this role, you will contribute novel modeling ideas and bring them to life by writing clean, modular, production-quality code for cloud-native environments, ensuring your work makes a tangible impact. We seek highly multifaceted skilled individuals with expertise in Fixed Income modeling, interest rate theory, credit risk, or advanced statistical/machine learning techniques to join our team. You'll have the opportunity to: Develop, build and evaluate statistical and Machine Learning models that directly influence how global markets price fixed income assets. Collaborate with cross-functional teams to develop, test, monitor and maintain robust production systems. Design new architectures, systems and approaches to power the pricing capabilities of Bloomberg. Integrate cutting-edge academic and industry research into models and methodologies, staying ahead of emerging developments to drive continuous innovations. Represent Bloomberg at scientific and industry conferences, and publish research findings through documentation, whitepapers, or in leading academic journals and conferences. You'll need to have: 3+ years of relevant work experience with Machine Learning or Statistical Modeling techniques in the financial industry ideally around asset valuation. Ph.D. or M.Sc. with equivalent research experience in Machine Learning, Computer Science, Mathematics, Statistics or a related field. Thriving in solving challenging, often ill-defined problems where off-the-shelf solutions fall short, and bring a creative, rigorous approach to developing novel methods and technologies. Proven track record designing, building, evaluating and maintaining statistical or Machine Learning solutions on Production. Proficiency in software engineering with an understanding of Computer Science fundamentals such as data structures and algorithms. Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders. A track record of authoring publications in top conferences and journals is a strong plus Salary Range = 165000 - 260000 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.
Technical Product Manager - AI Platforms - GenAI Developer Platform - CTO Office Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative AI, and more. We are passionate about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical to this effort are our AI platforms, which enable teams to rapidly and robustly develop, deploy and maintain AI products and features. What's in it for you We are looking for a Technical Product Manager to shape and execute the vision and roadmap for our Generative AI application development lifecycle. As a product manager, you will focus on the end-to-end user experience, share ownership of the product roadmap for our AI Platforms, and build out new features, capabilities, and integrations to fulfill our mission. You'll be making decisions on how to streamline the GenAI developer workflow around tools, agents, evaluation, and more. You will work in a group of other highly motivated product managers that work on a range of adjacent projects around AI application development. You will interact very closely with internal stakeholders from product, engineering, and UX. This is a high-leverage role in a very cross-functional environment, so you'll need to be comfortable wearing many hats and balancing technical expertise with business acumen. We'll trust you to Develop a long-term technical strategy, roadmap, framework, design patterns, tools for improving the developer experience for GenAI applications Partner closely with AI product and engineering teams to accelerate their critical projects Interact with internal users and diverse group of partners to understand their workflows and technical requirements, and develop a deep understanding of an ideal user experience Foster a culture of collaboration with your Engineering and UX counterparts Prioritize, plan, make decisions, ask the right questions, and understand how to plan for and manage resources effectively Take the initiative, be proactive, be inclusive, innovate, advocate, understand the priorities for the business, and do what's best for Bloomberg You'll need to have 5+ years of experience in technical product management Experience working with developer teams and productionizing AI or other data-intensive applications Breadth of knowledge or familiarity with GenAI platforms, MLOps platforms, AI toolkits Deep understanding of software development best practices Organizational and communication skills to effectively coordinate and work with engineers, UX, subject matter experts, other product managers, and senior management A product-driven focus and track record of shaping business strategy and roadmaps for technical products We'd love to see A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement or community presence 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.
08/31/2025
Full time
Technical Product Manager - AI Platforms - GenAI Developer Platform - CTO Office Location New York Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's CTO Office is the future-looking technical and product arm of Bloomberg L.P. We envision, design, and prototype the next generation infrastructure, hardware, and applications for the Bloomberg Terminal. Our projects include machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, generative AI, and more. We are passionate about what we do. For more than a decade, Bloomberg has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical to this effort are our AI platforms, which enable teams to rapidly and robustly develop, deploy and maintain AI products and features. What's in it for you We are looking for a Technical Product Manager to shape and execute the vision and roadmap for our Generative AI application development lifecycle. As a product manager, you will focus on the end-to-end user experience, share ownership of the product roadmap for our AI Platforms, and build out new features, capabilities, and integrations to fulfill our mission. You'll be making decisions on how to streamline the GenAI developer workflow around tools, agents, evaluation, and more. You will work in a group of other highly motivated product managers that work on a range of adjacent projects around AI application development. You will interact very closely with internal stakeholders from product, engineering, and UX. This is a high-leverage role in a very cross-functional environment, so you'll need to be comfortable wearing many hats and balancing technical expertise with business acumen. We'll trust you to Develop a long-term technical strategy, roadmap, framework, design patterns, tools for improving the developer experience for GenAI applications Partner closely with AI product and engineering teams to accelerate their critical projects Interact with internal users and diverse group of partners to understand their workflows and technical requirements, and develop a deep understanding of an ideal user experience Foster a culture of collaboration with your Engineering and UX counterparts Prioritize, plan, make decisions, ask the right questions, and understand how to plan for and manage resources effectively Take the initiative, be proactive, be inclusive, innovate, advocate, understand the priorities for the business, and do what's best for Bloomberg You'll need to have 5+ years of experience in technical product management Experience working with developer teams and productionizing AI or other data-intensive applications Breadth of knowledge or familiarity with GenAI platforms, MLOps platforms, AI toolkits Deep understanding of software development best practices Organizational and communication skills to effectively coordinate and work with engineers, UX, subject matter experts, other product managers, and senior management A product-driven focus and track record of shaping business strategy and roadmaps for technical products We'd love to see A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement or community presence 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.
Job Title: Machine Learning Engineer Location: Hybrid - Travel to SCIFs in DMV area as and when needed Clearance: Top Secret or higher Salary: $180k-$215k + Equity Join a pioneering company at the forefront of Intelligent Exploration and Enterprise AI. This innovative organization is seeking a Machine Learning Engineer to play a crucial role in enhancing their cutting-edge AI Platform. With a focus on bridging machine learning, data engineering, and software development, this position offers exciting career advancement opportunities for those looking to move into senior engineering roles or technical leadership. The company is known for its dynamic culture, commitment to innovation, and a collaborative environment that fosters professional growth. As a key player in the industry, they are dedicated to pushing the boundaries of AI technology and delivering exceptional solutions to their clients. Key Responsibilities: Spearhead platform upgrades to ensure products remain innovative and effective. Craft and manage dynamic dashboards using the Virtualitics AI Platform Python SDK for intuitive data visualization. Optimize data access patterns to enhance efficiency and performance of AI solutions. Address runtime performance issues to maintain high responsiveness and stability of applications. Architect robust, scalable, and user-friendly applications, considering current trends and future growth. Collaborate with Technical Product Managers to drive usability enhancements, ensuring products meet user expectations. What We're Looking For: Proven experience in machine learning, data engineering, or software development. Proficiency in Python, particularly with SDKs for data visualization. Strong problem-solving skills, especially in optimizing performance and scalability. Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Willingness and capability to obtain a U.S.-government security clearance. To be considered for this position you must have a Top Secret clearance or higher.
08/31/2025
Full time
Job Title: Machine Learning Engineer Location: Hybrid - Travel to SCIFs in DMV area as and when needed Clearance: Top Secret or higher Salary: $180k-$215k + Equity Join a pioneering company at the forefront of Intelligent Exploration and Enterprise AI. This innovative organization is seeking a Machine Learning Engineer to play a crucial role in enhancing their cutting-edge AI Platform. With a focus on bridging machine learning, data engineering, and software development, this position offers exciting career advancement opportunities for those looking to move into senior engineering roles or technical leadership. The company is known for its dynamic culture, commitment to innovation, and a collaborative environment that fosters professional growth. As a key player in the industry, they are dedicated to pushing the boundaries of AI technology and delivering exceptional solutions to their clients. Key Responsibilities: Spearhead platform upgrades to ensure products remain innovative and effective. Craft and manage dynamic dashboards using the Virtualitics AI Platform Python SDK for intuitive data visualization. Optimize data access patterns to enhance efficiency and performance of AI solutions. Address runtime performance issues to maintain high responsiveness and stability of applications. Architect robust, scalable, and user-friendly applications, considering current trends and future growth. Collaborate with Technical Product Managers to drive usability enhancements, ensuring products meet user expectations. What We're Looking For: Proven experience in machine learning, data engineering, or software development. Proficiency in Python, particularly with SDKs for data visualization. Strong problem-solving skills, especially in optimizing performance and scalability. Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Willingness and capability to obtain a U.S.-government security clearance. To be considered for this position you must have a Top Secret clearance or higher.
