By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description About the role: At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide. Synthetic Molecule Process Development (SMPD) develops robust and cost-effective processes for the manufacture of new small molecule pharmaceuticals, along with methods for achieving and controlling high standards of purity and quality. The Senior Staff Engineer - Process Modeling will join a dynamic and innovative team of engineers and scientists within SMPD's Process Engineering & Technology Group. Join Takeda as a Senior Staff Engineer - Modeling where you will have a strong background in chemical reaction engineering and will tackle and lead challenging problems in chemical reactions by leveraging expertise in reaction kinetics, transport phenomena, mathematical modeling, and reactor design. You will also lead and develop the scale-up and scale-down models for studying unit operations using both first-principle and data-based models. The role includes the application of process analytical technologies (PAT) combined with mathematical models (both statistical and first principle) to enhance process understanding. This will enable the effective development, optimization, scale-up, and troubleshooting of processes using in-silico approaches. As part of the SMPD, you will report to Associate Engineering Fellow. How you will contribute: Lead and contribute to the design, development, optimization, and scale-up of manufacturing processes for synthetic molecule drug substances using process modeling and simulation principles. Utilize advanced process modeling tools and digital twin functionalities, implementing model-based design of experiments for process characterization and risk assessment. Lead and develop experimental designs and workflows for model development, validation, and verification. Collaborates with cross-functional and external partners to develop and deploy digital twins of unit operations. Partner with Automation, Manufacturing, Process Engineers, and PAT experts to develop modeling and simulation (M&S) solutions that can be deployed across the global organization for in-silico process design, development, and optimization. Recommend, justify and implement in silico tools and an " in-silico first" approach to process development. Contribute to the democratization of modeling and simulation tools & results within global SMPD. Develop project or significant technical strategy and leverages technical skill(s) as a resource/expert within the department. Recognized as a technical expert and resource within the function. Contribute significantly and independently to project work as well as the development of platforms, which may include multiple projects within functional area. Proactively analyze technical issues and coordinate potential resolutions with project team members based on model and simulation predictions. Review, interpret and communicate data cross functionally within pharmaceutical sciences and project teams. Significant technical responsibility for a project area/technical program within the department and potentially across Pharmaceutical sciences. Stay current in novel process modeling and simulation tools and platforms, identify process trends and defines/champions process strategy. Influence and support initiatives related to driving scientific and technical improvement within the function and potentially cross-functionally. Identify topics for initiatives and lead local/global initiatives on behalf of senior staff. Author relevant sections of regulatory documents, validation plans, reports and peer reviewed manuscripts. Identify vendors and build relationships to gain access to technologies as needed to deliver on pipeline and platform technology goals. Manage key vendor relationships across multiple projects as appropriate, and proactively affects resolution of issues arising at vendors. Represent Takeda and is an active member on pre-competitive collaborations with academic and industrial partners. Minimum Requirements/Qualifications: Required: Bachelor's degree in Chemical Engineering or a related pharmaceutical science with 11+ years of relevant industry experience. Master's degree in Chemical Engineering or a related pharmaceutical science with 9+ years of relevant industry experience. Ph.D. or postdoctoral fellowship in Chemical Engineering or a related pharmaceutical science with 3+ years of relevant industry experience. Strong knowledge and understanding of chemical reaction engineering and catalysis, with proven ability to demonstrate skills in these fields. Strong knowledge and understanding of transport phenomena and thermodynamics. Extended experience with commercially available reaction kinetic modeling software such as Ansys, ReactionLab, Dynochem, and gPROMS. Extended experience with commercially available software for computational fluid dynamics (CFD) modeling such as Ansys, Star CCM+, MStar CFD. Proficient in communicating and data collection from systems such as sensors, controllers, and industrial systems. Experience with Matlab, Python, R, SQL, and good coding practices. Preferred: Experience with common statistical methods, basic data science principles, and AI/ML methodologies. Hands-on experience in wet lab process development. Experience in multivariate analysis and Principal Component Analysis (PCA). Understanding of synthetic molecule process development activities. Understanding of current Good Manufacturing Practices (cGMP). Knowledge and Skills: Analytical and Problem Solving Skills - Able to troubleshoot critical issues or problems, and determine causes and possible solutions. Teamwork Ability to work well in highly cross functional team environment and across global line functions. Communication Skills - Able to express one's self clearly and concisely within team; documents issues and/or concerns concisely with colleagues; adjust communication style as appropriate for the audience; timely and effectively communicates issues to supervisor; technical writing skills to support authorship of internal technical documents. Organization - Exercises good time management and prioritization skills and is able to successfully manage multiple tasks simultaneously. Knowledge Sharing - Ability to capture organizational knowledge; improve solutions, processes, and deliverables through use of information; improve information capital by contributing experience, theories, deliverables, and models for others to use. Resource Management - Ability to manage one's time within individual, departmental, and corporate goals and timelines; management of internal and external resources (vendors). External Involvement - Demonstrated involvement in professional community evidenced by presentation of scientific posters or lectures at professional conferences or events. Technical- Subject matter expertise and knowledge of applicable process modeling and simulation tools. TRAVEL REQUIREMENTS: May require approximately 5-10% travel. More about us: At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work. Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world. Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $133,000.00 - $209,000.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained , certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage . click apply for full job details
12/08/2024
Full time
By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description About the role: At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide. Synthetic Molecule Process Development (SMPD) develops robust and cost-effective processes for the manufacture of new small molecule pharmaceuticals, along with methods for achieving and controlling high standards of purity and quality. The Senior Staff Engineer - Process Modeling will join a dynamic and innovative team of engineers and scientists within SMPD's Process Engineering & Technology Group. Join Takeda as a Senior Staff Engineer - Modeling where you will have a strong background in chemical reaction engineering and will tackle and lead challenging problems in chemical reactions by leveraging expertise in reaction kinetics, transport phenomena, mathematical modeling, and reactor design. You will also lead and develop the scale-up and scale-down models for studying unit operations using both first-principle and data-based models. The role includes the application of process analytical technologies (PAT) combined with mathematical models (both statistical and first principle) to enhance process understanding. This will enable the effective development, optimization, scale-up, and troubleshooting of processes using in-silico approaches. As part of the SMPD, you will report to Associate Engineering Fellow. How you will contribute: Lead and contribute to the design, development, optimization, and scale-up of manufacturing processes for synthetic molecule drug substances using process modeling and simulation principles. Utilize advanced process modeling tools and digital twin functionalities, implementing model-based design of experiments for process characterization and risk assessment. Lead and develop experimental designs and workflows for model development, validation, and verification. Collaborates with cross-functional and external partners to develop and deploy digital twins of unit operations. Partner with Automation, Manufacturing, Process Engineers, and PAT experts to develop modeling and simulation (M&S) solutions that can be deployed across the global organization for in-silico process design, development, and optimization. Recommend, justify and implement in silico tools and an " in-silico first" approach to process development. Contribute to the democratization of modeling and simulation tools & results within global SMPD. Develop project or significant technical strategy and leverages technical skill(s) as a resource/expert within the department. Recognized as a technical expert and resource within the function. Contribute significantly and independently to project work as well as the development of platforms, which may include multiple projects within functional area. Proactively analyze technical issues and coordinate potential resolutions with project team members based on model and simulation predictions. Review, interpret and communicate data cross functionally within pharmaceutical sciences and project teams. Significant technical responsibility for a project area/technical program within the department and potentially across Pharmaceutical sciences. Stay current in novel process modeling and simulation tools and platforms, identify process trends and defines/champions process strategy. Influence and support initiatives related to driving scientific and technical improvement within the function and potentially cross-functionally. Identify topics for initiatives and lead local/global initiatives on behalf of senior staff. Author relevant sections of regulatory documents, validation plans, reports and peer reviewed manuscripts. Identify vendors and build relationships to gain access to technologies as needed to deliver on pipeline and platform technology goals. Manage key vendor relationships across multiple projects as appropriate, and proactively affects resolution of issues arising at vendors. Represent Takeda and is an active member on pre-competitive collaborations with academic and industrial partners. Minimum Requirements/Qualifications: Required: Bachelor's degree in Chemical Engineering or a related pharmaceutical science with 11+ years of relevant industry experience. Master's degree in Chemical Engineering or a related pharmaceutical science with 9+ years of relevant industry experience. Ph.D. or postdoctoral fellowship in Chemical Engineering or a related pharmaceutical science with 3+ years of relevant industry experience. Strong knowledge and understanding of chemical reaction engineering and catalysis, with proven ability to demonstrate skills in these fields. Strong knowledge and understanding of transport phenomena and thermodynamics. Extended experience with commercially available reaction kinetic modeling software such as Ansys, ReactionLab, Dynochem, and gPROMS. Extended experience with commercially available software for computational fluid dynamics (CFD) modeling such as Ansys, Star CCM+, MStar CFD. Proficient in communicating and data collection from systems such as sensors, controllers, and industrial systems. Experience with Matlab, Python, R, SQL, and good coding practices. Preferred: Experience with common statistical methods, basic data science principles, and AI/ML methodologies. Hands-on experience in wet lab process development. Experience in multivariate analysis and Principal Component Analysis (PCA). Understanding of synthetic molecule process development activities. Understanding of current Good Manufacturing Practices (cGMP). Knowledge and Skills: Analytical and Problem Solving Skills - Able to troubleshoot critical issues or problems, and determine causes and possible solutions. Teamwork Ability to work well in highly cross functional team environment and across global line functions. Communication Skills - Able to express one's self clearly and concisely within team; documents issues and/or concerns concisely with colleagues; adjust communication style as appropriate for the audience; timely and effectively communicates issues to supervisor; technical writing skills to support authorship of internal technical documents. Organization - Exercises good time management and prioritization skills and is able to successfully manage multiple tasks simultaneously. Knowledge Sharing - Ability to capture organizational knowledge; improve solutions, processes, and deliverables through use of information; improve information capital by contributing experience, theories, deliverables, and models for others to use. Resource Management - Ability to manage one's time within individual, departmental, and corporate goals and timelines; management of internal and external resources (vendors). External Involvement - Demonstrated involvement in professional community evidenced by presentation of scientific posters or lectures at professional conferences or events. Technical- Subject matter expertise and knowledge of applicable process modeling and simulation tools. TRAVEL REQUIREMENTS: May require approximately 5-10% travel. More about us: At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work. Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world. Takeda Compensation and Benefits Summary We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. For Location: Boston, MA U.S. Base Salary Range: $133,000.00 - $209,000.00 The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained , certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location. U.S. based employees may be eligible for short-term and/or long-term incentives. U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage . click apply for full job details
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. We are seeking a highly skilled and innovative Geophysicist / Rock Physicist with a strong background in GenAI / Deep Learning and Python coding for Quantitative Interpretation. The successful candidate will focus on integrating seismic inversion with petrophysical analysis, sequence stratigraphy, and seismic facies ML classification to build high-resolution 3D reservoir models. This role involves using cutting-edge machine learning and deep learning techniques to estimate uncertainty in the distribution of key rock properties, such as porosity, volume of shale (Vsh), and saturation in oil and gas reservoirs. Responsibilities and Qualifications: Responsibilities: •Seismic Inversion (acoustic (poststack) and elastic (prestack AVO/AVA based) & Integration with Petrophysical / Rock Physics Analysis: •Perform rock physics analysis to model Elastic Impedance and Extended Elastic Impedance parameters in relation with reservoir properties such as porosity, Vsh, and saturation. •Develop and apply advanced seismic inversion techniques to derive rock property models. •Integrate seismic images with well logs and core data to generate 3D geologic static reservoir models using geostatistical and sequence stratigraphy principles. •AI / ML Implementation: Design and implement AI and ML algorithms (using Python) to automate and enhance the interpretation of seismic data. Develop predictive models to estimate rock properties and reservoir parameters with associated uncertainties. Use AI-driven quantitative interpretation methods to improve seismic-to-petrophysical property mapping and reservoir characterization. •Uncertainty Quantification of Reservoir Characterization Analyze and quantify the uncertainty of the 3D distribution of rock properties and fluid saturations using combination of AI models and mathematical statistics in the solving the inverse problem. Validate reservoir and ML models against known well data (blind tests) and adjust for consistency in the context of sequence stratigraphy and seismic facies. Analyze generalization gap and quantify epistemic and aleatoric uncertainty. •Collaboration and Innovation: Collaborate with multi-disciplinary teams including geologists, reservoir engineers, and data scientists to refine models and enhance predictions. Stay up to date with the latest advancements in AI, DL, and geophysics to innovate new techniques and improve workflows. Contribute to R&D publications, presentations, and patents related to rock physics, seismic inversion, AI, and quantitative reservoir characterization. Requirements: •Skills acquired through the completion of an undergraduate degree in Science or Engineering. •10 years of related experience. •Completion of a masters or PHD in Science or Engineering is preferred. Candidates with qualifications exceeding the minimum job requirements will be considered for higher-level positions based on their experience, additional job requirements, and current business needs. Depending on their education, experience, and skill level, candidates may be eligible for a range of job opportunities, including positions ranging from Senior Scientist Technical Advisor, Principal Scientist Technical Advisor and Chief Scientist Technical Advisor. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States Job Details Requisition Number: 193447 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this position:
12/07/2024
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. We are seeking a highly skilled and innovative Geophysicist / Rock Physicist with a strong background in GenAI / Deep Learning and Python coding for Quantitative Interpretation. The successful candidate will focus on integrating seismic inversion with petrophysical analysis, sequence stratigraphy, and seismic facies ML classification to build high-resolution 3D reservoir models. This role involves using cutting-edge machine learning and deep learning techniques to estimate uncertainty in the distribution of key rock properties, such as porosity, volume of shale (Vsh), and saturation in oil and gas reservoirs. Responsibilities and Qualifications: Responsibilities: •Seismic Inversion (acoustic (poststack) and elastic (prestack AVO/AVA based) & Integration with Petrophysical / Rock Physics Analysis: •Perform rock physics analysis to model Elastic Impedance and Extended Elastic Impedance parameters in relation with reservoir properties such as porosity, Vsh, and saturation. •Develop and apply advanced seismic inversion techniques to derive rock property models. •Integrate seismic images with well logs and core data to generate 3D geologic static reservoir models using geostatistical and sequence stratigraphy principles. •AI / ML Implementation: Design and implement AI and ML algorithms (using Python) to automate and enhance the interpretation of seismic data. Develop predictive models to estimate rock properties and reservoir parameters with associated uncertainties. Use AI-driven quantitative interpretation methods to improve seismic-to-petrophysical property mapping and reservoir characterization. •Uncertainty Quantification of Reservoir Characterization Analyze and quantify the uncertainty of the 3D distribution of rock properties and fluid saturations using combination of AI models and mathematical statistics in the solving the inverse problem. Validate reservoir and ML models against known well data (blind tests) and adjust for consistency in the context of sequence stratigraphy and seismic facies. Analyze generalization gap and quantify epistemic and aleatoric uncertainty. •Collaboration and Innovation: Collaborate with multi-disciplinary teams including geologists, reservoir engineers, and data scientists to refine models and enhance predictions. Stay up to date with the latest advancements in AI, DL, and geophysics to innovate new techniques and improve workflows. Contribute to R&D publications, presentations, and patents related to rock physics, seismic inversion, AI, and quantitative reservoir characterization. Requirements: •Skills acquired through the completion of an undergraduate degree in Science or Engineering. •10 years of related experience. •Completion of a masters or PHD in Science or Engineering is preferred. Candidates with qualifications exceeding the minimum job requirements will be considered for higher-level positions based on their experience, additional job requirements, and current business needs. Depending on their education, experience, and skill level, candidates may be eligible for a range of job opportunities, including positions ranging from Senior Scientist Technical Advisor, Principal Scientist Technical Advisor and Chief Scientist Technical Advisor. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 3000 N Sam Houston Pkwy E, Houston, Texas, 77032, United States Job Details Requisition Number: 193447 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full Time Additional Locations for this position:
The Position We advance science so that we all have more time with the people we love. The successful Translational Safety Principal Pathologist candidate will provide scientific leadership and play an active role in the process of drug development from target assessment through marketed products. Working in a team environment, Translational Safety Project Pathologists participate in and may lead the strategic design, implementation, and data analysis of non-GLP investigative and GLP regulatory studies to ensure the comprehensive, highly integrated safety profiling of Genentech drug candidates. The Opportunity: As an integral member of this dynamic team, you will be: Providing veterinary clinical, technical, and scientific expertise on in-house and CRO based studies from protocol development through necropsy, clinical pathology, and histopathology evaluations, pathology peer review and final report generation. Collaborating closely with toxicologists and study operations professionals to develop expertise in the development of streamlined, innovative safety assessment programs for Genentech drug candidates, and in authoring regulatory documents. Working independently to leverage literature to develop and optimize best-evidence arguments in support of data interpretation or experimental approaches. Influencing Toxicologic Pathology and Industry standards via the publication of high quality scientific manuscripts. Collaborating with in vitro systems scientists to characterize and qualify assays for assessment of toxicity. Designing and conducting in vitro and/or in vivo investigative and mechanistic studies in collaboration with toxicologists and subject matter experts. Participating and often lead safety biomarker and diagnostic development programs. Advancing applications of digital pathology for greater scientific insights and workflow efficiencies. Participating in the Immunology and Infectious Disease Expert Working Group. Participate in and lead interdisciplinary project teams. Gain experience to represent Genentech/Roche in meetings with regulatory authorities as needed. Providing functional area mentorship and leadership in Pathology. Performing managerial, administrative, tactical, or strategic roles within Translational Safety, Development Sciences, or gRED, commensurate with experience. Who You Are: A DVM/VMD or equivalent and board certification in the American College of Veterinary Pathology or European College of Veterinary Pathology. PhD in Integrative Pathobiology, or related discipline, preferred. Alternatively, a minimum of 5 years of relevant industry experience. Preferred: Experience/ interest in the development of digital pathology algorithms. Experience/ interest in the pathobiology of infectious diseases or inflammatory diseases of the gut and lung. Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of South San Francisco, California is $184,700-$343,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
12/07/2024
Full time
The Position We advance science so that we all have more time with the people we love. The successful Translational Safety Principal Pathologist candidate will provide scientific leadership and play an active role in the process of drug development from target assessment through marketed products. Working in a team environment, Translational Safety Project Pathologists participate in and may lead the strategic design, implementation, and data analysis of non-GLP investigative and GLP regulatory studies to ensure the comprehensive, highly integrated safety profiling of Genentech drug candidates. The Opportunity: As an integral member of this dynamic team, you will be: Providing veterinary clinical, technical, and scientific expertise on in-house and CRO based studies from protocol development through necropsy, clinical pathology, and histopathology evaluations, pathology peer review and final report generation. Collaborating closely with toxicologists and study operations professionals to develop expertise in the development of streamlined, innovative safety assessment programs for Genentech drug candidates, and in authoring regulatory documents. Working independently to leverage literature to develop and optimize best-evidence arguments in support of data interpretation or experimental approaches. Influencing Toxicologic Pathology and Industry standards via the publication of high quality scientific manuscripts. Collaborating with in vitro systems scientists to characterize and qualify assays for assessment of toxicity. Designing and conducting in vitro and/or in vivo investigative and mechanistic studies in collaboration with toxicologists and subject matter experts. Participating and often lead safety biomarker and diagnostic development programs. Advancing applications of digital pathology for greater scientific insights and workflow efficiencies. Participating in the Immunology and Infectious Disease Expert Working Group. Participate in and lead interdisciplinary project teams. Gain experience to represent Genentech/Roche in meetings with regulatory authorities as needed. Providing functional area mentorship and leadership in Pathology. Performing managerial, administrative, tactical, or strategic roles within Translational Safety, Development Sciences, or gRED, commensurate with experience. Who You Are: A DVM/VMD or equivalent and board certification in the American College of Veterinary Pathology or European College of Veterinary Pathology. PhD in Integrative Pathobiology, or related discipline, preferred. Alternatively, a minimum of 5 years of relevant industry experience. Preferred: Experience/ interest in the development of digital pathology algorithms. Experience/ interest in the pathobiology of infectious diseases or inflammatory diseases of the gut and lung. Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of South San Francisco, California is $184,700-$343,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
Disney Cruise Line - The Walt Disney Company
San Francisco, California
Disney Entertainment & ESPN Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also redefining Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to improve flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we believe you'd love working for Disney Entertainment & ESPN Technology: Building the future of Disney's media business: DE&E Technologists are crafting and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and improve how audiences experience sports, entertainment & news. The Product Management team guides the strategy and vision for Disney's incredible global digital products portfolio - from Disney+, Hulu, ESPN+ and the ESPN App to Marvel Unlimited, National Geographic, ABC and ABC News, and film websites and games. This team impacts the way millions of people around the world experience and engage with Disney's iconic stories and unmatched content in more personalized and immersive ways, using innovative technologies ranging from Machine Learning to Extended Reality. Job Summary Machine learning powers applications at The Walt Disney Company including personalization and search for hundreds of millions of subscribers across Disney+, Hulu, Star+, ESPN and more. Our in-house machine learning platform enables applications like these at global scale across multiple products. We aim to accelerate and democratize ML innovation so we can bring more magical experiences to Disney fans, new and old. The possibilities to use Machine Learning and AI for positive consumer and business impact are limitless, and we're just getting started. As Principal Product Manager for ML Platform, you will be at the forefront of building the foundational AI/ML platform that is used across our entire product suite and customer base. This role involves leading the strategy, development, execution, and evolution of the ML Platform, an ML toolkit and underlying infrastructure that enables data scientists and ML engineers to build and operate end-to-end ML workflows on our ML Platform. You will work closely with a cross-functional team including engineers, data scientists and product managers to deliver innovative solutions that meet the evolving needs of our customers. The scale at which we operate is unique - not only do we have hundreds of millions of subscribers to delight and entertain, but we also have hundreds of customer touchpoints across multiple consumer products through which we should deliver a seamless experience. This is just one of the ways machine learning can help. This is an ideal role for someone who thrives in ambiguity and has a consistent track record of contributing to the product strategy and roadmap for a complex machine learning problem space. You should be able to balance pragmatism and product intuition to achieve significant impact for a rapidly growing customer base at global scale. Responsibilities Lead the strategy, roadmap, and execution for our ML platform. Collaborate closely with engineering & Data Scientists while working in an agile software development environment. Define product requirements, objectives, and success metrics for the ML platform. Gather and incorporate product feedback into subsequent product releases. Conduct research and competitive analysis to identify new opportunities in the field of Machine Learning and Data Science. Work closely with customers to understand their needs and incorporate feedback into product design and features. Create a delightful, self-serve product experience to power the ML platform for use by all AI practitioners with ease and speed. Lead teams on all business readiness activities, including product planning, sequencing, testing, user education, rollout, iteration, and support. Be the internal champion of AI/ML to technical and non-technical partners. Basic Qualifications 10+ years of experience in Product Management or other relevant experience. Experience working with AI/ML Products with understanding of machine learning / data science methodologies. Knowledge on ML infrastructure for data storage, data wrangling, feature storage, feature execution, model deployment, infrastructure management etc. Experience in conducting market research and competitive analysis. Passion for technology and innovation, with a customer-centric approach to product development. Adept at building, measuring and reporting against fundamental product metrics. Exceptional written and verbal communication skills at all levels of organization and partners. Preferred Qualifications Prior experience with streaming services and/or media products. Familiar with A/B experimentation methods and hypothesis-driven development. Strong experience working on search & recommendation systems. Required Education Bachelor's degree in a relevant field required. The hiring range for this position in Santa Monica, CA and Bristol, CT is $184,300 - $247,100 per year, in San Francisco is $201,900 - $270,700 and in NYC and Seattle is $193,100 - $258,900 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
12/06/2024
Full time
Disney Entertainment & ESPN Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also redefining Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to improve flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we believe you'd love working for Disney Entertainment & ESPN Technology: Building the future of Disney's media business: DE&E Technologists are crafting and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and improve how audiences experience sports, entertainment & news. The Product Management team guides the strategy and vision for Disney's incredible global digital products portfolio - from Disney+, Hulu, ESPN+ and the ESPN App to Marvel Unlimited, National Geographic, ABC and ABC News, and film websites and games. This team impacts the way millions of people around the world experience and engage with Disney's iconic stories and unmatched content in more personalized and immersive ways, using innovative technologies ranging from Machine Learning to Extended Reality. Job Summary Machine learning powers applications at The Walt Disney Company including personalization and search for hundreds of millions of subscribers across Disney+, Hulu, Star+, ESPN and more. Our in-house machine learning platform enables applications like these at global scale across multiple products. We aim to accelerate and democratize ML innovation so we can bring more magical experiences to Disney fans, new and old. The possibilities to use Machine Learning and AI for positive consumer and business impact are limitless, and we're just getting started. As Principal Product Manager for ML Platform, you will be at the forefront of building the foundational AI/ML platform that is used across our entire product suite and customer base. This role involves leading the strategy, development, execution, and evolution of the ML Platform, an ML toolkit and underlying infrastructure that enables data scientists and ML engineers to build and operate end-to-end ML workflows on our ML Platform. You will work closely with a cross-functional team including engineers, data scientists and product managers to deliver innovative solutions that meet the evolving needs of our customers. The scale at which we operate is unique - not only do we have hundreds of millions of subscribers to delight and entertain, but we also have hundreds of customer touchpoints across multiple consumer products through which we should deliver a seamless experience. This is just one of the ways machine learning can help. This is an ideal role for someone who thrives in ambiguity and has a consistent track record of contributing to the product strategy and roadmap for a complex machine learning problem space. You should be able to balance pragmatism and product intuition to achieve significant impact for a rapidly growing customer base at global scale. Responsibilities Lead the strategy, roadmap, and execution for our ML platform. Collaborate closely with engineering & Data Scientists while working in an agile software development environment. Define product requirements, objectives, and success metrics for the ML platform. Gather and incorporate product feedback into subsequent product releases. Conduct research and competitive analysis to identify new opportunities in the field of Machine Learning and Data Science. Work closely with customers to understand their needs and incorporate feedback into product design and features. Create a delightful, self-serve product experience to power the ML platform for use by all AI practitioners with ease and speed. Lead teams on all business readiness activities, including product planning, sequencing, testing, user education, rollout, iteration, and support. Be the internal champion of AI/ML to technical and non-technical partners. Basic Qualifications 10+ years of experience in Product Management or other relevant experience. Experience working with AI/ML Products with understanding of machine learning / data science methodologies. Knowledge on ML infrastructure for data storage, data wrangling, feature storage, feature execution, model deployment, infrastructure management etc. Experience in conducting market research and competitive analysis. Passion for technology and innovation, with a customer-centric approach to product development. Adept at building, measuring and reporting against fundamental product metrics. Exceptional written and verbal communication skills at all levels of organization and partners. Preferred Qualifications Prior experience with streaming services and/or media products. Familiar with A/B experimentation methods and hypothesis-driven development. Strong experience working on search & recommendation systems. Required Education Bachelor's degree in a relevant field required. The hiring range for this position in Santa Monica, CA and Bristol, CT is $184,300 - $247,100 per year, in San Francisco is $201,900 - $270,700 and in NYC and Seattle is $193,100 - $258,900 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
The Position A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Genentech. The Opportunity We are seeking a highly skilled and motivated Principal Machine Learning Scientist to join the BRAID team (Biology Research AI Development) within our Computational Sciences organization. This role will focus on building novel machine-learning methods to enhance drug development and clinical trial design, with a particular emphasis on early-stage clinical trials. The successful candidate will develop novel machine learning methods for multimodal clinical data, including generative models and representation learning, leveraging their expertise to improve trial efficiency, patient outcomes, and overall trial success rates. The candidate is expected to routinely publish work in top-tier Machine Learning and scientific venues. We seek exceptional researchers with a demonstrated research background in machine learning, a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement ideas from research. Key Responsibilities Lead research initiatives at the intersection of machine learning, biology, and clinical sciences. Conceive and lead collaborations both internally and externally. Maintain expertise at the forefront of multiple areas in machine learning and biology/clinical sciences. Collaborate with cross-functional teams, including chemists, biostatisticians, clinical scientists, and data engineers, to integrate ML methods into clinical trial development. Lead and contribute to the design and execution of clinical trials by developing foundation models using multimodal pre-clinical and clinical datasets. Publish research findings in top-tier machine learning and scientific journals and present at leading conferences. Mentor junior scientists and contribute to the strategic direction of the ML group within the Computational Science Organization. Who you are Educational Background: Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field with a strong emphasis on machine learning. Experience: Proven track record with 2+ years of experience developing and applying advanced ML models in a research or industry setting. Technical Skills: Proficiency in scientific programming languages such as Python as well as MLOps workflows (e.g., familiar with code version control, high-performance compute infrastructures, and machine learning experiment monitoring workflows). Extensive experience with machine learning frameworks and libraries (e.g., JAX, PyTorch, Tensorflow). Strong background in statistics, probabilistic modeling, and data analysis. Domain Knowledge: Understanding of clinical trials, drug development, and biological data. Soft Skills: Excellent communication, collaboration, and problem-solving skills. Publications: Strong publication record and experience contributing to research communities, including scientific journals and conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, etc. Preferred You have an extensive track record of delivering innovative solutions in machine learning, strong communication skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific leadership. You have practical experience in one or more of the following areas: reinforcement learning, geometric deep learning, representation learning, and generative learning. You have a passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning. You have experience in early-stage clinical trial design and execution and knowledge of regulatory requirements and standards in clinical trials. Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of South San Francisco, CA is $188,200 to $349,400. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
12/06/2024
Full time
The Position A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Genentech. The Opportunity We are seeking a highly skilled and motivated Principal Machine Learning Scientist to join the BRAID team (Biology Research AI Development) within our Computational Sciences organization. This role will focus on building novel machine-learning methods to enhance drug development and clinical trial design, with a particular emphasis on early-stage clinical trials. The successful candidate will develop novel machine learning methods for multimodal clinical data, including generative models and representation learning, leveraging their expertise to improve trial efficiency, patient outcomes, and overall trial success rates. The candidate is expected to routinely publish work in top-tier Machine Learning and scientific venues. We seek exceptional researchers with a demonstrated research background in machine learning, a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement ideas from research. Key Responsibilities Lead research initiatives at the intersection of machine learning, biology, and clinical sciences. Conceive and lead collaborations both internally and externally. Maintain expertise at the forefront of multiple areas in machine learning and biology/clinical sciences. Collaborate with cross-functional teams, including chemists, biostatisticians, clinical scientists, and data engineers, to integrate ML methods into clinical trial development. Lead and contribute to the design and execution of clinical trials by developing foundation models using multimodal pre-clinical and clinical datasets. Publish research findings in top-tier machine learning and scientific journals and present at leading conferences. Mentor junior scientists and contribute to the strategic direction of the ML group within the Computational Science Organization. Who you are Educational Background: Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Physics, or a related field with a strong emphasis on machine learning. Experience: Proven track record with 2+ years of experience developing and applying advanced ML models in a research or industry setting. Technical Skills: Proficiency in scientific programming languages such as Python as well as MLOps workflows (e.g., familiar with code version control, high-performance compute infrastructures, and machine learning experiment monitoring workflows). Extensive experience with machine learning frameworks and libraries (e.g., JAX, PyTorch, Tensorflow). Strong background in statistics, probabilistic modeling, and data analysis. Domain Knowledge: Understanding of clinical trials, drug development, and biological data. Soft Skills: Excellent communication, collaboration, and problem-solving skills. Publications: Strong publication record and experience contributing to research communities, including scientific journals and conferences like NeurIPS, ICML, ICLR, CVPR, ICCV, etc. Preferred You have an extensive track record of delivering innovative solutions in machine learning, strong communication skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific leadership. You have practical experience in one or more of the following areas: reinforcement learning, geometric deep learning, representation learning, and generative learning. You have a passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning. You have experience in early-stage clinical trial design and execution and knowledge of regulatory requirements and standards in clinical trials. Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of South San Francisco, CA is $188,200 to $349,400. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.
Principal Applied Scientist, Responsible AI Job ID: Amazon Development Center U.S., Inc. At AWS, we build and operate AI services responsibly, driving measurable success along multiple Responsible AI dimensions, including safety, fairness, privacy, security, robustness, explainability, and transparency. As a Principal Applied Scientist on this team, you will contribute to: • Understanding in depth the technical and scientific issues related to safety, fairness, privacy, security, robustness, explainability, transparency, and other issues, in both "classical" and generative AI. • Developing new solutions and science best practices in Responsible AI. • Developing our research and innovation agenda. • Defining the strategies, priorities and metrics for technical progress in Responsible AI. • Building and developing the AWS team. • Driving adoption of new science and best practices among service teams BASIC QUALIFICATIONS • Understanding in depth the technical and scientific issues related to safety, fairness, privacy, security, robustness, explainability, transparency, and other issues, in both "classical" and generative AI. • Developing new solutions and science best practices in Responsible AI. • Developing our research and innovation agenda. • Defining the strategies, priorities and metrics for technical progress in Responsible AI. • Building and developing the AWS team. • Driving adoption of new science and best practices among service teams. PREFERRED QUALIFICATIONS • PhD degree in computer science, statistics, engineering, mathematics or another relevant discipline. • 10+ years of experience using ML to solve problems in Responsible AI, natural language processing (NLP), computer vision (CV), computer speech (ASR), and/or other AI domains. • Experience with machine learning applications. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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. Posted: September 30, 2024 (Updated 34 minutes ago) Posted: September 23, 2024 (Updated about 1 hour ago) Posted: August 15, 2024 (Updated about 1 hour ago) Posted: September 26, 2024 (Updated about 2 hours ago) Posted: September 5, 2024 (Updated about 2 hours ago) Share this job Important FAQs for current Government employees Before proceeding, please review the following FAQs Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
12/06/2024
Full time
Principal Applied Scientist, Responsible AI Job ID: Amazon Development Center U.S., Inc. At AWS, we build and operate AI services responsibly, driving measurable success along multiple Responsible AI dimensions, including safety, fairness, privacy, security, robustness, explainability, and transparency. As a Principal Applied Scientist on this team, you will contribute to: • Understanding in depth the technical and scientific issues related to safety, fairness, privacy, security, robustness, explainability, transparency, and other issues, in both "classical" and generative AI. • Developing new solutions and science best practices in Responsible AI. • Developing our research and innovation agenda. • Defining the strategies, priorities and metrics for technical progress in Responsible AI. • Building and developing the AWS team. • Driving adoption of new science and best practices among service teams BASIC QUALIFICATIONS • Understanding in depth the technical and scientific issues related to safety, fairness, privacy, security, robustness, explainability, transparency, and other issues, in both "classical" and generative AI. • Developing new solutions and science best practices in Responsible AI. • Developing our research and innovation agenda. • Defining the strategies, priorities and metrics for technical progress in Responsible AI. • Building and developing the AWS team. • Driving adoption of new science and best practices among service teams. PREFERRED QUALIFICATIONS • PhD degree in computer science, statistics, engineering, mathematics or another relevant discipline. • 10+ years of experience using ML to solve problems in Responsible AI, natural language processing (NLP), computer vision (CV), computer speech (ASR), and/or other AI domains. • Experience with machine learning applications. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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. Posted: September 30, 2024 (Updated 34 minutes ago) Posted: September 23, 2024 (Updated about 1 hour ago) Posted: August 15, 2024 (Updated about 1 hour ago) Posted: September 26, 2024 (Updated about 2 hours ago) Posted: September 5, 2024 (Updated about 2 hours ago) Share this job Important FAQs for current Government employees Before proceeding, please review the following FAQs Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Principal Applied Scientist - CV/ML, Amazon Robotics Job ID: Services LLC Do you want to create worldwide impact in robotics while solving challenges at the edge of robotics research? Our team in Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans-at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself. We hire and develop subject matter experts in AI with a focus on computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, simultaneous localization and mapping, closed-loop control, robotic grasping and manipulation-all of which have high-value impact for our current and future fulfillment networks. We are seeking an exceptional Principal Applied Scientist to join our organization, who possesses a deep understanding of both classical computer vision techniques and state-of-the-art machine learning approaches. The ideal candidate will be hands-on, coding-proficient, and a thought leader capable of influencing the direction of ML applied to Perception and Robotics. Key qualifications: Extensive experience in computer vision, from traditional methods (e.g., SIFT, SURF, optical flow) to modern deep learning architectures Profound understanding of advanced vision models such as Vision Transformers (ViTs), MultiMAE, and their applications Expertise in generative models, particularly diffusion models and their applications in robotics (e.g., diffusion policy) Proven track record in developing scalable ML frameworks for online/offline learning, large language models, prediction systems, and continuous model optimization Strong background in 3D vision, including multi-view geometry, SLAM and 3D reconstruction Key job responsibilities Set the technical direction for the group, bridging classical computer vision techniques with cutting-edge deep learning approaches Drive research and development of advanced perception systems, incorporating the latest advancements in self-supervised and multi-modal learning Collaborate with top-notch scientists and engineers to deliver the world's most scalable and robust robotic systems Lead the integration of vision-language models and foundation models into perception pipelines Develop novel approaches for few-shot learning and domain adaptation in robotic perception Advance the state-of-the-art in areas such as 3D scene understanding, object pose estimation, and activity recognition Drive ideas to products using a comprehensive toolset including deep learning, active learning, and computer vision (camera selection, camera calibration, instance and semantic segmentation, pose estimation, activity understanding) Mentor and guide team members in adopting best practices and staying current with rapid advancements in the field The ideal candidate will have a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong publication record in top-tier conferences (CVPR, ICCV, NeurIPS, ICML, etc.) and practical experience applying advanced ML techniques to real-world robotics problems. BASIC QUALIFICATIONS 10+ years of scientist or machine learning engineer management experience PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience building state of the art machine learning models or developing algorithms PREFERRED QUALIFICATIONS Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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. Posted: November 21, 2024 (Updated about 12 hours ago)
12/06/2024
Full time
Principal Applied Scientist - CV/ML, Amazon Robotics Job ID: Services LLC Do you want to create worldwide impact in robotics while solving challenges at the edge of robotics research? Our team in Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans-at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself. We hire and develop subject matter experts in AI with a focus on computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, simultaneous localization and mapping, closed-loop control, robotic grasping and manipulation-all of which have high-value impact for our current and future fulfillment networks. We are seeking an exceptional Principal Applied Scientist to join our organization, who possesses a deep understanding of both classical computer vision techniques and state-of-the-art machine learning approaches. The ideal candidate will be hands-on, coding-proficient, and a thought leader capable of influencing the direction of ML applied to Perception and Robotics. Key qualifications: Extensive experience in computer vision, from traditional methods (e.g., SIFT, SURF, optical flow) to modern deep learning architectures Profound understanding of advanced vision models such as Vision Transformers (ViTs), MultiMAE, and their applications Expertise in generative models, particularly diffusion models and their applications in robotics (e.g., diffusion policy) Proven track record in developing scalable ML frameworks for online/offline learning, large language models, prediction systems, and continuous model optimization Strong background in 3D vision, including multi-view geometry, SLAM and 3D reconstruction Key job responsibilities Set the technical direction for the group, bridging classical computer vision techniques with cutting-edge deep learning approaches Drive research and development of advanced perception systems, incorporating the latest advancements in self-supervised and multi-modal learning Collaborate with top-notch scientists and engineers to deliver the world's most scalable and robust robotic systems Lead the integration of vision-language models and foundation models into perception pipelines Develop novel approaches for few-shot learning and domain adaptation in robotic perception Advance the state-of-the-art in areas such as 3D scene understanding, object pose estimation, and activity recognition Drive ideas to products using a comprehensive toolset including deep learning, active learning, and computer vision (camera selection, camera calibration, instance and semantic segmentation, pose estimation, activity understanding) Mentor and guide team members in adopting best practices and staying current with rapid advancements in the field The ideal candidate will have a Ph.D. in Computer Science, Electrical Engineering, or a related field, with a strong publication record in top-tier conferences (CVPR, ICCV, NeurIPS, ICML, etc.) and practical experience applying advanced ML techniques to real-world robotics problems. BASIC QUALIFICATIONS 10+ years of scientist or machine learning engineer management experience PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience building state of the art machine learning models or developing algorithms PREFERRED QUALIFICATIONS Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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. Posted: November 21, 2024 (Updated about 12 hours ago)
Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on Twitter , Facebook , Instagram , YouTube and LinkedIn . Job Description Computational Drug Discovery (CDD) at AbbVie is a multifunctional, global organization that drives computational approaches to small molecule drug discovery, supporting all therapeutic areas. The mission of this organization is to apply state-of-the-art computational chemistry, machine learning and physics-based methods to better understand protein structure/function and to accelerate the drug discovery process from hit generation to clinical candidate selection. We are making significant investments in AI/ML methods to support all elements of the CDD mission, and we are searching for a leader to bolster our expertise in the application of AI/ML methods for drug discovery programs. You will contribute to guiding the future direction of AI/ML in this space. This position offers the flexibility to be based onsite in North Chicago, IL, Worcester, MA, South San Francisco, CA or Ludwigshafen, Germany. Key Responsibilities: Responsible for contributing to the scientific and strategic incorporation of AI/ML tools into existing CDD workflows. Strategic Direction: Interface closely throughout CDD membership to identify opportunities for incorporating AI/ML strategies to enhance contributions to drug discovery pipeline. Collaborate with experts to leverage external innovation, manage external research collaborations. Make decisions based on review of available information and data. Manage multiple projects within the AI/ML team, enabling pipeline-driving science. Scientific Leadership: Identify, develop, optimize, validate, and deploy innovative methods for data mining, molecular generation, scoring and modeling that leverage AI/ML models and big data to enhance and apply molecular design capabilities. Interface with AbbVie IT infrastructure teams to ensure effective deployment of AI/ML capabilities. Qualifications Qualifications: BS, MS, or Ph.D. or equivalent in computational chemistry or related discipline, with typically 16+ years (BS), 14+ years (MS), or 8+ years (PhD) of experience. Managerial experience leading a scientific research team. Strong track record of people, technical, and research project management with significant impact. Strong track record of high-impact scientific achievement including a robust publication record. Established network with key academic and industrial opinion leaders in machine learning and physics based computational research. Knowledge and experience in state-of-the-art modeling, simulation and machine learning technologies / workflows as well as computing infrastructure to be able to leverage rich data collections to accelerate discovery in a fast paced and creative environment. Strong written and oral communication skills. Strong leadership skills with ability to navigate multiple stakeholders while engaging and motivating your staff. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
12/05/2024
Full time
Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on Twitter , Facebook , Instagram , YouTube and LinkedIn . Job Description Computational Drug Discovery (CDD) at AbbVie is a multifunctional, global organization that drives computational approaches to small molecule drug discovery, supporting all therapeutic areas. The mission of this organization is to apply state-of-the-art computational chemistry, machine learning and physics-based methods to better understand protein structure/function and to accelerate the drug discovery process from hit generation to clinical candidate selection. We are making significant investments in AI/ML methods to support all elements of the CDD mission, and we are searching for a leader to bolster our expertise in the application of AI/ML methods for drug discovery programs. You will contribute to guiding the future direction of AI/ML in this space. This position offers the flexibility to be based onsite in North Chicago, IL, Worcester, MA, South San Francisco, CA or Ludwigshafen, Germany. Key Responsibilities: Responsible for contributing to the scientific and strategic incorporation of AI/ML tools into existing CDD workflows. Strategic Direction: Interface closely throughout CDD membership to identify opportunities for incorporating AI/ML strategies to enhance contributions to drug discovery pipeline. Collaborate with experts to leverage external innovation, manage external research collaborations. Make decisions based on review of available information and data. Manage multiple projects within the AI/ML team, enabling pipeline-driving science. Scientific Leadership: Identify, develop, optimize, validate, and deploy innovative methods for data mining, molecular generation, scoring and modeling that leverage AI/ML models and big data to enhance and apply molecular design capabilities. Interface with AbbVie IT infrastructure teams to ensure effective deployment of AI/ML capabilities. Qualifications Qualifications: BS, MS, or Ph.D. or equivalent in computational chemistry or related discipline, with typically 16+ years (BS), 14+ years (MS), or 8+ years (PhD) of experience. Managerial experience leading a scientific research team. Strong track record of people, technical, and research project management with significant impact. Strong track record of high-impact scientific achievement including a robust publication record. Established network with key academic and industrial opinion leaders in machine learning and physics based computational research. Knowledge and experience in state-of-the-art modeling, simulation and machine learning technologies / workflows as well as computing infrastructure to be able to leverage rich data collections to accelerate discovery in a fast paced and creative environment. Strong written and oral communication skills. Strong leadership skills with ability to navigate multiple stakeholders while engaging and motivating your staff. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on Twitter , Facebook , Instagram , YouTube and LinkedIn . Job Description Computational Drug Discovery (CDD) at AbbVie is a multifunctional, global organization that drives computational approaches to small molecule drug discovery, supporting all therapeutic areas. The mission of this organization is to apply state-of-the-art computational chemistry, machine learning and physics-based methods to better understand protein structure/function and to accelerate the drug discovery process from hit generation to clinical candidate selection. We are making significant investments in AI/ML methods to support all elements of the CDD mission, and we are searching for a leader to bolster our expertise in the application of AI/ML methods for drug discovery programs. You will contribute to guiding the future direction of AI/ML in this space. This position offers the flexibility to be based onsite in North Chicago, IL, Worcester, MA, South San Francisco, CA or Ludwigshafen, Germany. Key Responsibilities: Responsible for contributing to the scientific and strategic incorporation of AI/ML tools into existing CDD workflows. Strategic Direction: Interface closely throughout CDD membership to identify opportunities for incorporating AI/ML strategies to enhance contributions to drug discovery pipeline. Collaborate with experts to leverage external innovation, manage external research collaborations. Make decisions based on review of available information and data. Manage multiple projects within the AI/ML team, enabling pipeline-driving science. Scientific Leadership: Identify, develop, optimize, validate, and deploy innovative methods for data mining, molecular generation, scoring and modeling that leverage AI/ML models and big data to enhance and apply molecular design capabilities. Interface with AbbVie IT infrastructure teams to ensure effective deployment of AI/ML capabilities. Qualifications Qualifications: BS, MS, or Ph.D. or equivalent in computational chemistry or related discipline, with typically 16+ years (BS), 14+ years (MS), or 8+ years (PhD) of experience. Managerial experience leading a scientific research team. Strong track record of people, technical, and research project management with significant impact. Strong track record of high-impact scientific achievement including a robust publication record. Established network with key academic and industrial opinion leaders in machine learning and physics based computational research. Knowledge and experience in state-of-the-art modeling, simulation and machine learning technologies / workflows as well as computing infrastructure to be able to leverage rich data collections to accelerate discovery in a fast paced and creative environment. Strong written and oral communication skills. Strong leadership skills with ability to navigate multiple stakeholders while engaging and motivating your staff. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
12/05/2024
Full time
Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on Twitter , Facebook , Instagram , YouTube and LinkedIn . Job Description Computational Drug Discovery (CDD) at AbbVie is a multifunctional, global organization that drives computational approaches to small molecule drug discovery, supporting all therapeutic areas. The mission of this organization is to apply state-of-the-art computational chemistry, machine learning and physics-based methods to better understand protein structure/function and to accelerate the drug discovery process from hit generation to clinical candidate selection. We are making significant investments in AI/ML methods to support all elements of the CDD mission, and we are searching for a leader to bolster our expertise in the application of AI/ML methods for drug discovery programs. You will contribute to guiding the future direction of AI/ML in this space. This position offers the flexibility to be based onsite in North Chicago, IL, Worcester, MA, South San Francisco, CA or Ludwigshafen, Germany. Key Responsibilities: Responsible for contributing to the scientific and strategic incorporation of AI/ML tools into existing CDD workflows. Strategic Direction: Interface closely throughout CDD membership to identify opportunities for incorporating AI/ML strategies to enhance contributions to drug discovery pipeline. Collaborate with experts to leverage external innovation, manage external research collaborations. Make decisions based on review of available information and data. Manage multiple projects within the AI/ML team, enabling pipeline-driving science. Scientific Leadership: Identify, develop, optimize, validate, and deploy innovative methods for data mining, molecular generation, scoring and modeling that leverage AI/ML models and big data to enhance and apply molecular design capabilities. Interface with AbbVie IT infrastructure teams to ensure effective deployment of AI/ML capabilities. Qualifications Qualifications: BS, MS, or Ph.D. or equivalent in computational chemistry or related discipline, with typically 16+ years (BS), 14+ years (MS), or 8+ years (PhD) of experience. Managerial experience leading a scientific research team. Strong track record of people, technical, and research project management with significant impact. Strong track record of high-impact scientific achievement including a robust publication record. Established network with key academic and industrial opinion leaders in machine learning and physics based computational research. Knowledge and experience in state-of-the-art modeling, simulation and machine learning technologies / workflows as well as computing infrastructure to be able to leverage rich data collections to accelerate discovery in a fast paced and creative environment. Strong written and oral communication skills. Strong leadership skills with ability to navigate multiple stakeholders while engaging and motivating your staff. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie's policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
Metrowest Medical Center
Marlborough, Massachusetts
Processes and tests all types of laboratory specimens, reviews and reports lab results, performs operational duties, maintenance, and advanced troubleshooting of laboratory instrumentation and equipment. Acts as resource to other laboratory personnel. Additional responsibility includes assisting with new equipment validation and implementation, employee training and competency assessment, regulatory compliance responsibilities for CAP, TCJ, AABB or other agencies, and quality assurance, quality control and instrument maintenance. Department: Laboratory Grade: GENERAL SUMMARY: Reporting directly to the supervisors of Chemistry, Hematology and Blood Bank as well as the Lab Operations Manager and indirectly to the Administrative Director of Pathology and Laboratory Medicine. PRINCIPAL DUTIES AND RESPONSIBILITIES: 1. TECHNICAL - Performs laboratory procedures in all areas of the Laboratory: Chemistry, Hematology, Urinalysis, full scope Blood Bank and minimal Microbiology. Work in accordance with the departments Standard Operating Procedure to produce accurate results and complete testing within designated turn-around-times (TAT). Calls critical results to appropriate person(s) in a timely manner. Perform instrument maintenance and Quality Control with the ability to troubleshoot equipment and document results under the guidelines of the Quality Assurance program. Ensures that all equipment is clean and operational at all times, and that the work area is clean and safe. Must be able to read and understand policies and procedures. 2. COMMUNICATION - required reading includes emails and responding as necessary. Also required to read and understand posted information. Communicating with colleagues to ensure proper work flow of specimens, etc. 3. QC/QA - performs, evaluates and results Quality Control (QC) for both automated instruments and manual testing. Understands when to notify senior technologists or supervisors when QC is not in range. Completes on-line Midas safety reports for Quality Assurance reporting. 4. DOCUMENTATION - Documents Continuing Education, including required on-line courses, as well as Webinars and off-site classes. 5. SPECIAL DUTIES - additional responsibilities may be acquired over a period of time. In time, maybe asked to help train new employees. Exceptional organizational skills and attention to detail. OTHER JOB KNOWLEDGE, EXPERIENCE AND REQUIREMENTS: 1. MLS/MT/MLT (ASCP) or equivalent. Completion of an Associates or Baccalaureate degree in a Clinical Laboratory Science or Medical Technology, or Baccalaureate Degree in related science from an accredited school. Meets the requirements and qualifies as a technologist under CFR 493.1433 CLIA laboratory regulations published March 14, 1990 (55 FR 9538). National certification eligible by ACSP, NCA, or HEW. 2. At least one year of experience as a laboratory technologist, preferably as a Generalist. Is competent in all areas of Blood Bank, including antibody identification. WORKING CONDITIONS: 1. Frequent standing, walking, and bending during course of duties. Concentrated attention required while performing testing. 2. Frequent exposure to potentially hazardous chemicals, reagents, or specimens while performing tests. The above statements are intended to describe the general nature and level of the work being performed by people assigned this job. They are not an exhaustive list of all duties, responsibilities, knowledge, skills and abilities associated with the job. _ _ Employment practices will not be influenced or affected by an applicant's or employee's race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Tenet will make reasonable accommodations for qualified individuals with disabilities unless doing so would result in an undue hardship.
12/04/2024
Full time
Processes and tests all types of laboratory specimens, reviews and reports lab results, performs operational duties, maintenance, and advanced troubleshooting of laboratory instrumentation and equipment. Acts as resource to other laboratory personnel. Additional responsibility includes assisting with new equipment validation and implementation, employee training and competency assessment, regulatory compliance responsibilities for CAP, TCJ, AABB or other agencies, and quality assurance, quality control and instrument maintenance. Department: Laboratory Grade: GENERAL SUMMARY: Reporting directly to the supervisors of Chemistry, Hematology and Blood Bank as well as the Lab Operations Manager and indirectly to the Administrative Director of Pathology and Laboratory Medicine. PRINCIPAL DUTIES AND RESPONSIBILITIES: 1. TECHNICAL - Performs laboratory procedures in all areas of the Laboratory: Chemistry, Hematology, Urinalysis, full scope Blood Bank and minimal Microbiology. Work in accordance with the departments Standard Operating Procedure to produce accurate results and complete testing within designated turn-around-times (TAT). Calls critical results to appropriate person(s) in a timely manner. Perform instrument maintenance and Quality Control with the ability to troubleshoot equipment and document results under the guidelines of the Quality Assurance program. Ensures that all equipment is clean and operational at all times, and that the work area is clean and safe. Must be able to read and understand policies and procedures. 2. COMMUNICATION - required reading includes emails and responding as necessary. Also required to read and understand posted information. Communicating with colleagues to ensure proper work flow of specimens, etc. 3. QC/QA - performs, evaluates and results Quality Control (QC) for both automated instruments and manual testing. Understands when to notify senior technologists or supervisors when QC is not in range. Completes on-line Midas safety reports for Quality Assurance reporting. 4. DOCUMENTATION - Documents Continuing Education, including required on-line courses, as well as Webinars and off-site classes. 5. SPECIAL DUTIES - additional responsibilities may be acquired over a period of time. In time, maybe asked to help train new employees. Exceptional organizational skills and attention to detail. OTHER JOB KNOWLEDGE, EXPERIENCE AND REQUIREMENTS: 1. MLS/MT/MLT (ASCP) or equivalent. Completion of an Associates or Baccalaureate degree in a Clinical Laboratory Science or Medical Technology, or Baccalaureate Degree in related science from an accredited school. Meets the requirements and qualifies as a technologist under CFR 493.1433 CLIA laboratory regulations published March 14, 1990 (55 FR 9538). National certification eligible by ACSP, NCA, or HEW. 2. At least one year of experience as a laboratory technologist, preferably as a Generalist. Is competent in all areas of Blood Bank, including antibody identification. WORKING CONDITIONS: 1. Frequent standing, walking, and bending during course of duties. Concentrated attention required while performing testing. 2. Frequent exposure to potentially hazardous chemicals, reagents, or specimens while performing tests. The above statements are intended to describe the general nature and level of the work being performed by people assigned this job. They are not an exhaustive list of all duties, responsibilities, knowledge, skills and abilities associated with the job. _ _ Employment practices will not be influenced or affected by an applicant's or employee's race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Tenet will make reasonable accommodations for qualified individuals with disabilities unless doing so would result in an undue hardship.
Metrowest Medical Center
Marlborough, Massachusetts
Processes and tests all types of laboratory specimens, reviews and reports lab results, performs operational duties, maintenance, and advanced troubleshooting of laboratory instrumentation and equipment. Acts as resource to other laboratory personnel. Additional responsibility includes assisting with new equipment validation and implementation, employee training and competency assessment, regulatory compliance responsibilities for CAP, TCJ, AABB or other agencies, and quality assurance, quality control and instrument maintenance. Department: Laboratory Grade: GENERAL SUMMARY: Reporting directly to the supervisors of Chemistry, Hematology and Blood Bank as well as the Lab Operations Manager and indirectly to the Administrative Director of Pathology and Laboratory Medicine. PRINCIPAL DUTIES AND RESPONSIBILITIES: 1. TECHNICAL - Performs laboratory procedures in all areas of the Laboratory: Chemistry, Hematology, Urinalysis, full scope Blood Bank and minimal Microbiology. Work in accordance with the departments Standard Operating Procedure to produce accurate results and complete testing within designated turn-around-times (TAT). Calls critical results to appropriate person(s) in a timely manner. Perform instrument maintenance and Quality Control with the ability to troubleshoot equipment and document results under the guidelines of the Quality Assurance program. Ensures that all equipment is clean and operational at all times, and that the work area is clean and safe. Must be able to read and understand policies and procedures. 2. COMMUNICATION - required reading includes emails and responding as necessary. Also required to read and understand posted information. Communicating with colleagues to ensure proper work flow of specimens, etc. 3. QC/QA - performs, evaluates and results Quality Control (QC) for both automated instruments and manual testing. Understands when to notify senior technologists or supervisors when QC is not in range. Completes on-line Midas safety reports for Quality Assurance reporting. 4. DOCUMENTATION - Documents Continuing Education, including required on-line courses, as well as Webinars and off-site classes. 5. SPECIAL DUTIES - additional responsibilities may be acquired over a period of time. In time, maybe asked to help train new employees. Exceptional organizational skills and attention to detail. OTHER JOB KNOWLEDGE, EXPERIENCE AND REQUIREMENTS: 1. MLS/MT/MLT (ASCP) or equivalent. Completion of an Associates or Baccalaureate degree in a Clinical Laboratory Science or Medical Technology, or Baccalaureate Degree in related science from an accredited school. Meets the requirements and qualifies as a technologist under CFR 493.1433 CLIA laboratory regulations published March 14, 1990 (55 FR 9538). National certification eligible by ACSP, NCA, or HEW. 2. At least one year of experience as a laboratory technologist, preferably as a Generalist. Is competent in all areas of Blood Bank, including antibody identification. WORKING CONDITIONS: 1. Frequent standing, walking, and bending during course of duties. Concentrated attention required while performing testing. 2. Frequent exposure to potentially hazardous chemicals, reagents, or specimens while performing tests. The above statements are intended to describe the general nature and level of the work being performed by people assigned this job. They are not an exhaustive list of all duties, responsibilities, knowledge, skills and abilities associated with the job. _ _ Employment practices will not be influenced or affected by an applicant's or employee's race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Tenet will make reasonable accommodations for qualified individuals with disabilities unless doing so would result in an undue hardship.
12/04/2024
Full time
Processes and tests all types of laboratory specimens, reviews and reports lab results, performs operational duties, maintenance, and advanced troubleshooting of laboratory instrumentation and equipment. Acts as resource to other laboratory personnel. Additional responsibility includes assisting with new equipment validation and implementation, employee training and competency assessment, regulatory compliance responsibilities for CAP, TCJ, AABB or other agencies, and quality assurance, quality control and instrument maintenance. Department: Laboratory Grade: GENERAL SUMMARY: Reporting directly to the supervisors of Chemistry, Hematology and Blood Bank as well as the Lab Operations Manager and indirectly to the Administrative Director of Pathology and Laboratory Medicine. PRINCIPAL DUTIES AND RESPONSIBILITIES: 1. TECHNICAL - Performs laboratory procedures in all areas of the Laboratory: Chemistry, Hematology, Urinalysis, full scope Blood Bank and minimal Microbiology. Work in accordance with the departments Standard Operating Procedure to produce accurate results and complete testing within designated turn-around-times (TAT). Calls critical results to appropriate person(s) in a timely manner. Perform instrument maintenance and Quality Control with the ability to troubleshoot equipment and document results under the guidelines of the Quality Assurance program. Ensures that all equipment is clean and operational at all times, and that the work area is clean and safe. Must be able to read and understand policies and procedures. 2. COMMUNICATION - required reading includes emails and responding as necessary. Also required to read and understand posted information. Communicating with colleagues to ensure proper work flow of specimens, etc. 3. QC/QA - performs, evaluates and results Quality Control (QC) for both automated instruments and manual testing. Understands when to notify senior technologists or supervisors when QC is not in range. Completes on-line Midas safety reports for Quality Assurance reporting. 4. DOCUMENTATION - Documents Continuing Education, including required on-line courses, as well as Webinars and off-site classes. 5. SPECIAL DUTIES - additional responsibilities may be acquired over a period of time. In time, maybe asked to help train new employees. Exceptional organizational skills and attention to detail. OTHER JOB KNOWLEDGE, EXPERIENCE AND REQUIREMENTS: 1. MLS/MT/MLT (ASCP) or equivalent. Completion of an Associates or Baccalaureate degree in a Clinical Laboratory Science or Medical Technology, or Baccalaureate Degree in related science from an accredited school. Meets the requirements and qualifies as a technologist under CFR 493.1433 CLIA laboratory regulations published March 14, 1990 (55 FR 9538). National certification eligible by ACSP, NCA, or HEW. 2. At least one year of experience as a laboratory technologist, preferably as a Generalist. Is competent in all areas of Blood Bank, including antibody identification. WORKING CONDITIONS: 1. Frequent standing, walking, and bending during course of duties. Concentrated attention required while performing testing. 2. Frequent exposure to potentially hazardous chemicals, reagents, or specimens while performing tests. The above statements are intended to describe the general nature and level of the work being performed by people assigned this job. They are not an exhaustive list of all duties, responsibilities, knowledge, skills and abilities associated with the job. _ _ Employment practices will not be influenced or affected by an applicant's or employee's race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Tenet will make reasonable accommodations for qualified individuals with disabilities unless doing so would result in an undue hardship.
Metrowest Medical Center
Marlborough, Massachusetts
Processes and tests all types of laboratory specimens, reviews and reports lab results, performs operational duties, maintenance, and advanced troubleshooting of laboratory instrumentation and equipment. Acts as resource to other laboratory personnel. Additional responsibility includes assisting with new equipment validation and implementation, employee training and competency assessment, regulatory compliance responsibilities for CAP, TCJ, AABB or other agencies, and quality assurance, quality control and instrument maintenance. Department: Laboratory Grade: GENERAL SUMMARY: Reporting directly to the supervisors of Chemistry, Hematology and Blood Bank as well as the Lab Operations Manager and indirectly to the Administrative Director of Pathology and Laboratory Medicine. PRINCIPAL DUTIES AND RESPONSIBILITIES: 1. TECHNICAL - Performs laboratory procedures in all areas of the Laboratory: Chemistry, Hematology, Urinalysis, full scope Blood Bank and minimal Microbiology. Work in accordance with the departments Standard Operating Procedure to produce accurate results and complete testing within designated turn-around-times (TAT). Calls critical results to appropriate person(s) in a timely manner. Perform instrument maintenance and Quality Control with the ability to troubleshoot equipment and document results under the guidelines of the Quality Assurance program. Ensures that all equipment is clean and operational at all times, and that the work area is clean and safe. Must be able to read and understand policies and procedures. 2. COMMUNICATION - required reading includes emails and responding as necessary. Also required to read and understand posted information. Communicating with colleagues to ensure proper work flow of specimens, etc. 3. QC/QA - performs, evaluates and results Quality Control (QC) for both automated instruments and manual testing. Understands when to notify senior technologists or supervisors when QC is not in range. Completes on-line Midas safety reports for Quality Assurance reporting. 4. DOCUMENTATION - Documents Continuing Education, including required on-line courses, as well as Webinars and off-site classes. 5. SPECIAL DUTIES - additional responsibilities may be acquired over a period of time. In time, maybe asked to help train new employees. Exceptional organizational skills and attention to detail. OTHER JOB KNOWLEDGE, EXPERIENCE AND REQUIREMENTS: 1. MLS/MT/MLT (ASCP) or equivalent. Completion of an Associates or Baccalaureate degree in a Clinical Laboratory Science or Medical Technology, or Baccalaureate Degree in related science from an accredited school. Meets the requirements and qualifies as a technologist under CFR 493.1433 CLIA laboratory regulations published March 14, 1990 (55 FR 9538). National certification eligible by ACSP, NCA, or HEW. 2. At least one year of experience as a laboratory technologist, preferably as a Generalist. Is competent in all areas of Blood Bank, including antibody identification. WORKING CONDITIONS: 1. Frequent standing, walking, and bending during course of duties. Concentrated attention required while performing testing. 2. Frequent exposure to potentially hazardous chemicals, reagents, or specimens while performing tests. The above statements are intended to describe the general nature and level of the work being performed by people assigned this job. They are not an exhaustive list of all duties, responsibilities, knowledge, skills and abilities associated with the job. _ _ Employment practices will not be influenced or affected by an applicant's or employee's race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Tenet will make reasonable accommodations for qualified individuals with disabilities unless doing so would result in an undue hardship.
12/02/2024
Full time
Processes and tests all types of laboratory specimens, reviews and reports lab results, performs operational duties, maintenance, and advanced troubleshooting of laboratory instrumentation and equipment. Acts as resource to other laboratory personnel. Additional responsibility includes assisting with new equipment validation and implementation, employee training and competency assessment, regulatory compliance responsibilities for CAP, TCJ, AABB or other agencies, and quality assurance, quality control and instrument maintenance. Department: Laboratory Grade: GENERAL SUMMARY: Reporting directly to the supervisors of Chemistry, Hematology and Blood Bank as well as the Lab Operations Manager and indirectly to the Administrative Director of Pathology and Laboratory Medicine. PRINCIPAL DUTIES AND RESPONSIBILITIES: 1. TECHNICAL - Performs laboratory procedures in all areas of the Laboratory: Chemistry, Hematology, Urinalysis, full scope Blood Bank and minimal Microbiology. Work in accordance with the departments Standard Operating Procedure to produce accurate results and complete testing within designated turn-around-times (TAT). Calls critical results to appropriate person(s) in a timely manner. Perform instrument maintenance and Quality Control with the ability to troubleshoot equipment and document results under the guidelines of the Quality Assurance program. Ensures that all equipment is clean and operational at all times, and that the work area is clean and safe. Must be able to read and understand policies and procedures. 2. COMMUNICATION - required reading includes emails and responding as necessary. Also required to read and understand posted information. Communicating with colleagues to ensure proper work flow of specimens, etc. 3. QC/QA - performs, evaluates and results Quality Control (QC) for both automated instruments and manual testing. Understands when to notify senior technologists or supervisors when QC is not in range. Completes on-line Midas safety reports for Quality Assurance reporting. 4. DOCUMENTATION - Documents Continuing Education, including required on-line courses, as well as Webinars and off-site classes. 5. SPECIAL DUTIES - additional responsibilities may be acquired over a period of time. In time, maybe asked to help train new employees. Exceptional organizational skills and attention to detail. OTHER JOB KNOWLEDGE, EXPERIENCE AND REQUIREMENTS: 1. MLS/MT/MLT (ASCP) or equivalent. Completion of an Associates or Baccalaureate degree in a Clinical Laboratory Science or Medical Technology, or Baccalaureate Degree in related science from an accredited school. Meets the requirements and qualifies as a technologist under CFR 493.1433 CLIA laboratory regulations published March 14, 1990 (55 FR 9538). National certification eligible by ACSP, NCA, or HEW. 2. At least one year of experience as a laboratory technologist, preferably as a Generalist. Is competent in all areas of Blood Bank, including antibody identification. WORKING CONDITIONS: 1. Frequent standing, walking, and bending during course of duties. Concentrated attention required while performing testing. 2. Frequent exposure to potentially hazardous chemicals, reagents, or specimens while performing tests. The above statements are intended to describe the general nature and level of the work being performed by people assigned this job. They are not an exhaustive list of all duties, responsibilities, knowledge, skills and abilities associated with the job. _ _ Employment practices will not be influenced or affected by an applicant's or employee's race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, sexual orientation, gender identity or expression, veteran status or any other legally protected status. Tenet will make reasonable accommodations for qualified individuals with disabilities unless doing so would result in an undue hardship.
Job ID: Amazon Web Services, Inc. AWS Support is looking for a high caliber Applied Scientist to build AI/GenAI experiences and foundations for Kumo Intelligent Tooling - the organization that owns products and services used by 10,000+ AWS Support staff to help 40,000+ unique monthly AWS customers, and is responsible for AWS Support's strategic initiative to transform its business and delivery model through GenAI. We are looking for a Principal Scientist to join us and spearhead the AI revolution through intelligent solutions that assist customers and Support staff to troubleshoot and resolve technical issues. You are a hands-on contributor and will apply your knowledge to propose solutions, create software prototypes, and productize prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet ever-growing customer needs use cases. You have strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment. You will play a pivotal role in shaping the definition, vision, design, roadmap and development of solutions from beginning to end for hard, previously unsolved problems. Key job responsibilities Lead and conduct advanced research in Large Language Models (LLMs), GenAI, and Deep Learning, with a focus on developing novel algorithms, architectures, and methodologies for technical support. Stay up-to-date with the latest advancements in AI, LLMs, and GenAI, and identify opportunities to leverage cutting-edge technologies to deliver new Support offerings and capabilities to AWS customers. Lead by example, demonstrating technical excellence that other scientists aspire to follow, fostering a culture of innovation and knowledge sharing, and taking time to mentor and develop team members. Collaborate with cross-functional teams, including scientists, engineers, and product managers, to translate research findings into practical applications. Partner across AWS AI/GenAI service teams to influence and drive investment prioritization and product direction. Evangelize our AI/GenAI innovations, results, and impact to customers, partners, and AWS senior leaders. About the team Kumo is the global product and engineering organization for AWS Support, a multi-billion $ business. Our mission is to empower innovators to get the most out of cloud services. We build technology that reimagines how people and automation combine to solve problems, remove risks, build with excellence, and drive business impact. We own critical cloud services used by all AWS customers to build, optimize, and operate at scale, including AWS Health, Trusted Advisor, Well-Architected, re:Post, Support Center, and AWS Managed Services. We also own services that enable AWS support teams to provide mission-critical, customer-obsessed support to our customers, including Command Center (the console platform for 14,000 frontline staff and technical account managers), Kumo Case Management (the contact center platform for technical support), Tool Contribution (the platform for support staff to build and reuse troubleshooting tools), and Business Case Authorization (the service for controlling access to customer metadata based on business justifications). AWS Kumo is a dynamic, agile, and collaborative team of individuals with diverse backgrounds, located around the globe with larger teams in the U.S., Canada, and South Africa. BASIC QUALIFICATIONS - Graduate degree (MS or PhD) in Computer Science, Machine Learning, Computational Linguistics, or a related field, with a strong focus on Natural Language Processing, Large Language Models, and Generative AI. - 7+ years of experience in AI and Machine Learning in industry. - Proven experience with a track record of thought leadership and contributions that have advanced business and customer results through AI. - Strong record of delivery in industry and ability to handle multiple competing priorities in a fast-paced environment. - Excellent written and verbal communication skills. PREFERRED QUALIFICATIONS - 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and/or academia. - Hands-on experience in conducting research and developing innovative solutions leveraging LLMs, Generative AI, and Deep Learning. - Comprehensive applied knowledge and experience in end-to-end ML model development and deployment life cycle from ideation to model launch and maintenance. Posted: November 23, 2024 (Updated 1 day ago)
12/01/2024
Full time
Job ID: Amazon Web Services, Inc. AWS Support is looking for a high caliber Applied Scientist to build AI/GenAI experiences and foundations for Kumo Intelligent Tooling - the organization that owns products and services used by 10,000+ AWS Support staff to help 40,000+ unique monthly AWS customers, and is responsible for AWS Support's strategic initiative to transform its business and delivery model through GenAI. We are looking for a Principal Scientist to join us and spearhead the AI revolution through intelligent solutions that assist customers and Support staff to troubleshoot and resolve technical issues. You are a hands-on contributor and will apply your knowledge to propose solutions, create software prototypes, and productize prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet ever-growing customer needs use cases. You have strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment. You will play a pivotal role in shaping the definition, vision, design, roadmap and development of solutions from beginning to end for hard, previously unsolved problems. Key job responsibilities Lead and conduct advanced research in Large Language Models (LLMs), GenAI, and Deep Learning, with a focus on developing novel algorithms, architectures, and methodologies for technical support. Stay up-to-date with the latest advancements in AI, LLMs, and GenAI, and identify opportunities to leverage cutting-edge technologies to deliver new Support offerings and capabilities to AWS customers. Lead by example, demonstrating technical excellence that other scientists aspire to follow, fostering a culture of innovation and knowledge sharing, and taking time to mentor and develop team members. Collaborate with cross-functional teams, including scientists, engineers, and product managers, to translate research findings into practical applications. Partner across AWS AI/GenAI service teams to influence and drive investment prioritization and product direction. Evangelize our AI/GenAI innovations, results, and impact to customers, partners, and AWS senior leaders. About the team Kumo is the global product and engineering organization for AWS Support, a multi-billion $ business. Our mission is to empower innovators to get the most out of cloud services. We build technology that reimagines how people and automation combine to solve problems, remove risks, build with excellence, and drive business impact. We own critical cloud services used by all AWS customers to build, optimize, and operate at scale, including AWS Health, Trusted Advisor, Well-Architected, re:Post, Support Center, and AWS Managed Services. We also own services that enable AWS support teams to provide mission-critical, customer-obsessed support to our customers, including Command Center (the console platform for 14,000 frontline staff and technical account managers), Kumo Case Management (the contact center platform for technical support), Tool Contribution (the platform for support staff to build and reuse troubleshooting tools), and Business Case Authorization (the service for controlling access to customer metadata based on business justifications). AWS Kumo is a dynamic, agile, and collaborative team of individuals with diverse backgrounds, located around the globe with larger teams in the U.S., Canada, and South Africa. BASIC QUALIFICATIONS - Graduate degree (MS or PhD) in Computer Science, Machine Learning, Computational Linguistics, or a related field, with a strong focus on Natural Language Processing, Large Language Models, and Generative AI. - 7+ years of experience in AI and Machine Learning in industry. - Proven experience with a track record of thought leadership and contributions that have advanced business and customer results through AI. - Strong record of delivery in industry and ability to handle multiple competing priorities in a fast-paced environment. - Excellent written and verbal communication skills. PREFERRED QUALIFICATIONS - 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and/or academia. - Hands-on experience in conducting research and developing innovative solutions leveraging LLMs, Generative AI, and Deep Learning. - Comprehensive applied knowledge and experience in end-to-end ML model development and deployment life cycle from ideation to model launch and maintenance. Posted: November 23, 2024 (Updated 1 day ago)
Job ID: Amazon Web Services, Inc. AWS Support is looking for a high caliber Applied Scientist to build AI/GenAI experiences and foundations for Kumo Intelligent Tooling - the organization that owns products and services used by 10,000+ AWS Support staff to help 40,000+ unique monthly AWS customers, and is responsible for AWS Support's strategic initiative to transform its business and delivery model through GenAI. We are looking for a Principal Scientist to join us and spearhead the AI revolution through intelligent solutions that assist customers and Support staff to troubleshoot and resolve technical issues. You are a hands-on contributor and will apply your knowledge to propose solutions, create software prototypes, and productize prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet ever-growing customer needs use cases. You have strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment. You will play a pivotal role in shaping the definition, vision, design, roadmap and development of solutions from beginning to end for hard, previously unsolved problems. Key job responsibilities Lead and conduct advanced research in Large Language Models (LLMs), GenAI, and Deep Learning, with a focus on developing novel algorithms, architectures, and methodologies for technical support. Stay up-to-date with the latest advancements in AI, LLMs, and GenAI, and identify opportunities to leverage cutting-edge technologies to deliver new Support offerings and capabilities to AWS customers. Lead by example, demonstrating technical excellence that other scientists aspire to follow, fostering a culture of innovation and knowledge sharing, and taking time to mentor and develop team members. Collaborate with cross-functional teams, including scientists, engineers, and product managers, to translate research findings into practical applications. Partner across AWS AI/GenAI service teams to influence and drive investment prioritization and product direction. Evangelize our AI/GenAI innovations, results, and impact to customers, partners, and AWS senior leaders. About the team Kumo is the global product and engineering organization for AWS Support, a multi-billion $ business. Our mission is to empower innovators to get the most out of cloud services. We build technology that reimagines how people and automation combine to solve problems, remove risks, build with excellence, and drive business impact. We own critical cloud services used by all AWS customers to build, optimize, and operate at scale, including AWS Health, Trusted Advisor, Well-Architected, re:Post, Support Center, and AWS Managed Services. We also own services that enable AWS support teams to provide mission-critical, customer-obsessed support to our customers, including Command Center (the console platform for 14,000 frontline staff and technical account managers), Kumo Case Management (the contact center platform for technical support), Tool Contribution (the platform for support staff to build and reuse troubleshooting tools), and Business Case Authorization (the service for controlling access to customer metadata based on business justifications). AWS Kumo is a dynamic, agile, and collaborative team of individuals with diverse backgrounds, located around the globe with larger teams in the U.S., Canada, and South Africa. BASIC QUALIFICATIONS - Graduate degree (MS or PhD) in Computer Science, Machine Learning, Computational Linguistics, or a related field, with a strong focus on Natural Language Processing, Large Language Models, and Generative AI. - 7+ years of experience in AI and Machine Learning in industry. - Proven experience with a track record of thought leadership and contributions that have advanced business and customer results through AI. - Strong record of delivery in industry and ability to handle multiple competing priorities in a fast-paced environment. - Excellent written and verbal communication skills. PREFERRED QUALIFICATIONS - 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and/or academia. - Hands-on experience in conducting research and developing innovative solutions leveraging LLMs, Generative AI, and Deep Learning. - Comprehensive applied knowledge and experience in end-to-end ML model development and deployment life cycle from ideation to model launch and maintenance. Posted: November 23, 2024 (Updated 1 day ago)
12/01/2024
Full time
Job ID: Amazon Web Services, Inc. AWS Support is looking for a high caliber Applied Scientist to build AI/GenAI experiences and foundations for Kumo Intelligent Tooling - the organization that owns products and services used by 10,000+ AWS Support staff to help 40,000+ unique monthly AWS customers, and is responsible for AWS Support's strategic initiative to transform its business and delivery model through GenAI. We are looking for a Principal Scientist to join us and spearhead the AI revolution through intelligent solutions that assist customers and Support staff to troubleshoot and resolve technical issues. You are a hands-on contributor and will apply your knowledge to propose solutions, create software prototypes, and productize prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet ever-growing customer needs use cases. You have strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment. You will play a pivotal role in shaping the definition, vision, design, roadmap and development of solutions from beginning to end for hard, previously unsolved problems. Key job responsibilities Lead and conduct advanced research in Large Language Models (LLMs), GenAI, and Deep Learning, with a focus on developing novel algorithms, architectures, and methodologies for technical support. Stay up-to-date with the latest advancements in AI, LLMs, and GenAI, and identify opportunities to leverage cutting-edge technologies to deliver new Support offerings and capabilities to AWS customers. Lead by example, demonstrating technical excellence that other scientists aspire to follow, fostering a culture of innovation and knowledge sharing, and taking time to mentor and develop team members. Collaborate with cross-functional teams, including scientists, engineers, and product managers, to translate research findings into practical applications. Partner across AWS AI/GenAI service teams to influence and drive investment prioritization and product direction. Evangelize our AI/GenAI innovations, results, and impact to customers, partners, and AWS senior leaders. About the team Kumo is the global product and engineering organization for AWS Support, a multi-billion $ business. Our mission is to empower innovators to get the most out of cloud services. We build technology that reimagines how people and automation combine to solve problems, remove risks, build with excellence, and drive business impact. We own critical cloud services used by all AWS customers to build, optimize, and operate at scale, including AWS Health, Trusted Advisor, Well-Architected, re:Post, Support Center, and AWS Managed Services. We also own services that enable AWS support teams to provide mission-critical, customer-obsessed support to our customers, including Command Center (the console platform for 14,000 frontline staff and technical account managers), Kumo Case Management (the contact center platform for technical support), Tool Contribution (the platform for support staff to build and reuse troubleshooting tools), and Business Case Authorization (the service for controlling access to customer metadata based on business justifications). AWS Kumo is a dynamic, agile, and collaborative team of individuals with diverse backgrounds, located around the globe with larger teams in the U.S., Canada, and South Africa. BASIC QUALIFICATIONS - Graduate degree (MS or PhD) in Computer Science, Machine Learning, Computational Linguistics, or a related field, with a strong focus on Natural Language Processing, Large Language Models, and Generative AI. - 7+ years of experience in AI and Machine Learning in industry. - Proven experience with a track record of thought leadership and contributions that have advanced business and customer results through AI. - Strong record of delivery in industry and ability to handle multiple competing priorities in a fast-paced environment. - Excellent written and verbal communication skills. PREFERRED QUALIFICATIONS - 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and/or academia. - Hands-on experience in conducting research and developing innovative solutions leveraging LLMs, Generative AI, and Deep Learning. - Comprehensive applied knowledge and experience in end-to-end ML model development and deployment life cycle from ideation to model launch and maintenance. Posted: November 23, 2024 (Updated 1 day ago)
Job ID: Amazon Web Services, Inc. AWS Support is looking for a high caliber Applied Scientist to build AI/GenAI experiences and foundations for Kumo Intelligent Tooling - the organization that owns products and services used by 10,000+ AWS Support staff to help 40,000+ unique monthly AWS customers, and is responsible for AWS Support's strategic initiative to transform its business and delivery model through GenAI. We are looking for a Principal Scientist to join us and spearhead the AI revolution through intelligent solutions that assist customers and Support staff to troubleshoot and resolve technical issues. You are a hands-on contributor and will apply your knowledge to propose solutions, create software prototypes, and productize prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet ever-growing customer needs use cases. You have strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment. You will play a pivotal role in shaping the definition, vision, design, roadmap and development of solutions from beginning to end for hard, previously unsolved problems. Key job responsibilities Lead and conduct advanced research in Large Language Models (LLMs), GenAI, and Deep Learning, with a focus on developing novel algorithms, architectures, and methodologies for technical support. Stay up-to-date with the latest advancements in AI, LLMs, and GenAI, and identify opportunities to leverage cutting-edge technologies to deliver new Support offerings and capabilities to AWS customers. Lead by example, demonstrating technical excellence that other scientists aspire to follow, fostering a culture of innovation and knowledge sharing, and taking time to mentor and develop team members. Collaborate with cross-functional teams, including scientists, engineers, and product managers, to translate research findings into practical applications. Partner across AWS AI/GenAI service teams to influence and drive investment prioritization and product direction. Evangelize our AI/GenAI innovations, results, and impact to customers, partners, and AWS senior leaders. About the team Kumo is the global product and engineering organization for AWS Support, a multi-billion $ business. Our mission is to empower innovators to get the most out of cloud services. We build technology that reimagines how people and automation combine to solve problems, remove risks, build with excellence, and drive business impact. We own critical cloud services used by all AWS customers to build, optimize, and operate at scale, including AWS Health, Trusted Advisor, Well-Architected, re:Post, Support Center, and AWS Managed Services. We also own services that enable AWS support teams to provide mission-critical, customer-obsessed support to our customers, including Command Center (the console platform for 14,000 frontline staff and technical account managers), Kumo Case Management (the contact center platform for technical support), Tool Contribution (the platform for support staff to build and reuse troubleshooting tools), and Business Case Authorization (the service for controlling access to customer metadata based on business justifications). AWS Kumo is a dynamic, agile, and collaborative team of individuals with diverse backgrounds, located around the globe with larger teams in the U.S., Canada, and South Africa. BASIC QUALIFICATIONS - Graduate degree (MS or PhD) in Computer Science, Machine Learning, Computational Linguistics, or a related field, with a strong focus on Natural Language Processing, Large Language Models, and Generative AI. - 7+ years of experience in AI and Machine Learning in industry. - Proven experience with a track record of thought leadership and contributions that have advanced business and customer results through AI. - Strong record of delivery in industry and ability to handle multiple competing priorities in a fast-paced environment. - Excellent written and verbal communication skills. PREFERRED QUALIFICATIONS - 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and/or academia. - Hands-on experience in conducting research and developing innovative solutions leveraging LLMs, Generative AI, and Deep Learning. - Comprehensive applied knowledge and experience in end-to-end ML model development and deployment life cycle from ideation to model launch and maintenance. Posted: November 23, 2024 (Updated 1 day ago)
12/01/2024
Full time
Job ID: Amazon Web Services, Inc. AWS Support is looking for a high caliber Applied Scientist to build AI/GenAI experiences and foundations for Kumo Intelligent Tooling - the organization that owns products and services used by 10,000+ AWS Support staff to help 40,000+ unique monthly AWS customers, and is responsible for AWS Support's strategic initiative to transform its business and delivery model through GenAI. We are looking for a Principal Scientist to join us and spearhead the AI revolution through intelligent solutions that assist customers and Support staff to troubleshoot and resolve technical issues. You are a hands-on contributor and will apply your knowledge to propose solutions, create software prototypes, and productize prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet ever-growing customer needs use cases. You have strong verbal and written communication skills, are self-driven and deliver high quality results in a fast-paced environment. You will play a pivotal role in shaping the definition, vision, design, roadmap and development of solutions from beginning to end for hard, previously unsolved problems. Key job responsibilities Lead and conduct advanced research in Large Language Models (LLMs), GenAI, and Deep Learning, with a focus on developing novel algorithms, architectures, and methodologies for technical support. Stay up-to-date with the latest advancements in AI, LLMs, and GenAI, and identify opportunities to leverage cutting-edge technologies to deliver new Support offerings and capabilities to AWS customers. Lead by example, demonstrating technical excellence that other scientists aspire to follow, fostering a culture of innovation and knowledge sharing, and taking time to mentor and develop team members. Collaborate with cross-functional teams, including scientists, engineers, and product managers, to translate research findings into practical applications. Partner across AWS AI/GenAI service teams to influence and drive investment prioritization and product direction. Evangelize our AI/GenAI innovations, results, and impact to customers, partners, and AWS senior leaders. About the team Kumo is the global product and engineering organization for AWS Support, a multi-billion $ business. Our mission is to empower innovators to get the most out of cloud services. We build technology that reimagines how people and automation combine to solve problems, remove risks, build with excellence, and drive business impact. We own critical cloud services used by all AWS customers to build, optimize, and operate at scale, including AWS Health, Trusted Advisor, Well-Architected, re:Post, Support Center, and AWS Managed Services. We also own services that enable AWS support teams to provide mission-critical, customer-obsessed support to our customers, including Command Center (the console platform for 14,000 frontline staff and technical account managers), Kumo Case Management (the contact center platform for technical support), Tool Contribution (the platform for support staff to build and reuse troubleshooting tools), and Business Case Authorization (the service for controlling access to customer metadata based on business justifications). AWS Kumo is a dynamic, agile, and collaborative team of individuals with diverse backgrounds, located around the globe with larger teams in the U.S., Canada, and South Africa. BASIC QUALIFICATIONS - Graduate degree (MS or PhD) in Computer Science, Machine Learning, Computational Linguistics, or a related field, with a strong focus on Natural Language Processing, Large Language Models, and Generative AI. - 7+ years of experience in AI and Machine Learning in industry. - Proven experience with a track record of thought leadership and contributions that have advanced business and customer results through AI. - Strong record of delivery in industry and ability to handle multiple competing priorities in a fast-paced environment. - Excellent written and verbal communication skills. PREFERRED QUALIFICATIONS - 10+ years of experience in AI, Machine Learning, and Natural Language Processing in industry and/or academia. - Hands-on experience in conducting research and developing innovative solutions leveraging LLMs, Generative AI, and Deep Learning. - Comprehensive applied knowledge and experience in end-to-end ML model development and deployment life cycle from ideation to model launch and maintenance. Posted: November 23, 2024 (Updated 1 day ago)
About the team Eager to reinvent the way customers dream, shop for, and unlock their next home? The Zillow Product team leads the development of solutions that help customers discover, evaluate, and confidently move forward with selling and buying options with Zillow. We work alongside designers, engineers, data scientists, marketers, and researchers to identify and unlock possibilities for home shoppers and real estate professionals. We build upon a foundation of quantitative and qualitative understanding of our users to rapidly test, iterate, and launch customer experiences on the world's largest online real estate marketplace. Our goal is to reinvent home shopping through the delivery of seamless, comprehensive, personalized, and inspiring product experiences for our customers and real estate professionals. About the role Looking for an opportunity to redefine real estate? We are seeking an accomplished Principal Product Manager who is passionate about solving very complex customer (internal and external) problems, and building highly impactful solutions. You display self awareness and awareness of others to expertly handle situations and relationships across organizations. You are recognized as trusted mentor helping others grow. If you know what's needed to make complete products/systems and teams successful, understand the big picture, and are able to achieve, come join us! In this role, you will: Deliver impact and results by defining success metrics, analyzing data for insights, prioritizing what to build, and coordinating with partner teams to align efforts to business strategies Communicate and collaborate by articulating the "why" and "what" customer problem to solve, working with others, and balancing their point of view with solicited input of others Inform strategy by monitoring competitors, understanding customer needs and technical designs of products to serve them Mobilize your teams to do their best work by providing clear direction, handling dependencies, removing blockers and applying effective operating rhythms This role has been categorized as a Remote position. "Remote" employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role. Who you are 7+ years of proficient ability in a product management role, with a focus on building technology products Is fully accountable for annual and quarterly planning for their domain Defines, socializes, and acquires leadership support of product vision Makes decisions to address widespread shifts in technology, impacting cross organization plans and is responsible for ensuring resources and processes are established for effective execution Product decisions, solutions, and suggestions are accurate and successful when judged over time Identifies when to apply a solution to specific problems and when a patterned solution can apply more broadly Communication artifacts are exemplary examples for others to follow Finds common ground, leads, inspires and mentors Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Get to know us Zillow is reimagining real estate to make it easier to unlock life's next chapter. As the most-visited real estate website in the United States, Zillow® and its affiliates offer customers an on-demand experience for selling, buying, renting or financing with transparency and nearly seamless end-to-end service. Millions of people visit Zillow and its affiliate sites every month to start their home search, and now they can rely on Zillow to help them finish it - and no matter what job you're in, you will play a critical role in making this vision a reality. At Zillow, we're powered by our innovative and inclusive work culture, where everyone has the flexibility, support and resources to do the best work of their careers. Our efforts to streamline the real estate transaction is supported by our passion to redefine the employee experience, a deep-rooted culture of innovation, a fundamental commitment to Equity and Belonging, and world-class benefits . But don't just take our word for it. Read our reviews on Glassdoor and recent recognition from multiple organizations, including: Fortune's 100 Best Companies to Work For® List 2021 Bloomberg Gender-Equality Index 2021, Human Rights Campaign (HRC) Corporate Equity Index and HRC's Best Place to Work for LGBTQ Equality 2021, Fortune Best Workplaces for Technology 2020, Fortune Best Workplaces for Millennials 2020, Fortune Best Workplaces for Parents 2020, and the Deloitte Technology Fast 500. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at . Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter. See what information we collect about you.
09/25/2021
Full time
About the team Eager to reinvent the way customers dream, shop for, and unlock their next home? The Zillow Product team leads the development of solutions that help customers discover, evaluate, and confidently move forward with selling and buying options with Zillow. We work alongside designers, engineers, data scientists, marketers, and researchers to identify and unlock possibilities for home shoppers and real estate professionals. We build upon a foundation of quantitative and qualitative understanding of our users to rapidly test, iterate, and launch customer experiences on the world's largest online real estate marketplace. Our goal is to reinvent home shopping through the delivery of seamless, comprehensive, personalized, and inspiring product experiences for our customers and real estate professionals. About the role Looking for an opportunity to redefine real estate? We are seeking an accomplished Principal Product Manager who is passionate about solving very complex customer (internal and external) problems, and building highly impactful solutions. You display self awareness and awareness of others to expertly handle situations and relationships across organizations. You are recognized as trusted mentor helping others grow. If you know what's needed to make complete products/systems and teams successful, understand the big picture, and are able to achieve, come join us! In this role, you will: Deliver impact and results by defining success metrics, analyzing data for insights, prioritizing what to build, and coordinating with partner teams to align efforts to business strategies Communicate and collaborate by articulating the "why" and "what" customer problem to solve, working with others, and balancing their point of view with solicited input of others Inform strategy by monitoring competitors, understanding customer needs and technical designs of products to serve them Mobilize your teams to do their best work by providing clear direction, handling dependencies, removing blockers and applying effective operating rhythms This role has been categorized as a Remote position. "Remote" employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role. Who you are 7+ years of proficient ability in a product management role, with a focus on building technology products Is fully accountable for annual and quarterly planning for their domain Defines, socializes, and acquires leadership support of product vision Makes decisions to address widespread shifts in technology, impacting cross organization plans and is responsible for ensuring resources and processes are established for effective execution Product decisions, solutions, and suggestions are accurate and successful when judged over time Identifies when to apply a solution to specific problems and when a patterned solution can apply more broadly Communication artifacts are exemplary examples for others to follow Finds common ground, leads, inspires and mentors Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences. In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Get to know us Zillow is reimagining real estate to make it easier to unlock life's next chapter. As the most-visited real estate website in the United States, Zillow® and its affiliates offer customers an on-demand experience for selling, buying, renting or financing with transparency and nearly seamless end-to-end service. Millions of people visit Zillow and its affiliate sites every month to start their home search, and now they can rely on Zillow to help them finish it - and no matter what job you're in, you will play a critical role in making this vision a reality. At Zillow, we're powered by our innovative and inclusive work culture, where everyone has the flexibility, support and resources to do the best work of their careers. Our efforts to streamline the real estate transaction is supported by our passion to redefine the employee experience, a deep-rooted culture of innovation, a fundamental commitment to Equity and Belonging, and world-class benefits . But don't just take our word for it. Read our reviews on Glassdoor and recent recognition from multiple organizations, including: Fortune's 100 Best Companies to Work For® List 2021 Bloomberg Gender-Equality Index 2021, Human Rights Campaign (HRC) Corporate Equity Index and HRC's Best Place to Work for LGBTQ Equality 2021, Fortune Best Workplaces for Technology 2020, Fortune Best Workplaces for Millennials 2020, Fortune Best Workplaces for Parents 2020, and the Deloitte Technology Fast 500. Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at . Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter. See what information we collect about you.
Purpose of Job **100% Remote Work Available** USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. In each of the past five years, we've been a top-40 Fortune 100 Best Companies to Work For , and we've ranked among Victory Media's Top 10 Military Friendly Employers 13 years straight. We embrace a robust veteran workforce and encourage veterans and veteran spouses to apply. Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Translates complex analytical and technical concepts to non-technical employees Job Requirements Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works with IT to research architecture for new products, services, and features. Develops algorithms and supporting code such that research efforts are based on the highest quality data. Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. Minimum Requirements Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. 4 or more years of related experience and accountability for complex tasks and/or projects required. Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required. Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends required. Preferred Requirements Expertise in experimental design, advanced statistical analysis, and modeling to discover key relationships in data and applying that information to predict likely future outcomes; fluent in regression, classification, tree-based models, clustering methods, text mining, and neural networks. Proven ability to enrich (add new information to) data, advise on appropriate course(s) of action to take based on results, summarize complex technical analysis for non-technical executive audiences, succinctly present visualizations of high dimensional data, and explain & justify the results of the analysis conducted. Highly competent at data wrangling and data engineering in SQL and SAS as well as advanced machine learning (ML) techniques using Python; comfortable in cloud computing environments (Azure, GCP, AWS). Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use. PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc). Fluent in deep learning frameworks and libraries (TensorFlow, Keras, PyTorch, etc). Highly skilled in handling Big Data (Hadoop, Hive, Spark, Kafka, etc). Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus. Experience in publishing at top ML, computer vision, NLP, or AI conferences and/or contributing to ML/AI-related open source projects and/or converting ML/AI papers into code is a plus. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. At USAA our employees enjoy one of the best benefits package in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs. Additionally, our career path planning and continuing education will assist you with your professional goals. USAA also offers a variety of on-site services and conveniences to help you manage your work and personal life, including seven cafeterias, two company stores and three fitness centers. Relocation assistance is available for this position. Associated topics: artificial intelligence, chip, computer engineering, informatic, java, matlab, photonics, radar, robotics, schematic
10/02/2020
Full time
Purpose of Job **100% Remote Work Available** USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. In each of the past five years, we've been a top-40 Fortune 100 Best Companies to Work For , and we've ranked among Victory Media's Top 10 Military Friendly Employers 13 years straight. We embrace a robust veteran workforce and encourage veterans and veteran spouses to apply. Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Translates complex analytical and technical concepts to non-technical employees Job Requirements Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works with IT to research architecture for new products, services, and features. Develops algorithms and supporting code such that research efforts are based on the highest quality data. Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. Minimum Requirements Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. 4 or more years of related experience and accountability for complex tasks and/or projects required. Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required. Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends required. Preferred Requirements Expertise in experimental design, advanced statistical analysis, and modeling to discover key relationships in data and applying that information to predict likely future outcomes; fluent in regression, classification, tree-based models, clustering methods, text mining, and neural networks. Proven ability to enrich (add new information to) data, advise on appropriate course(s) of action to take based on results, summarize complex technical analysis for non-technical executive audiences, succinctly present visualizations of high dimensional data, and explain & justify the results of the analysis conducted. Highly competent at data wrangling and data engineering in SQL and SAS as well as advanced machine learning (ML) techniques using Python; comfortable in cloud computing environments (Azure, GCP, AWS). Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use. PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc). Fluent in deep learning frameworks and libraries (TensorFlow, Keras, PyTorch, etc). Highly skilled in handling Big Data (Hadoop, Hive, Spark, Kafka, etc). Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus. Experience in publishing at top ML, computer vision, NLP, or AI conferences and/or contributing to ML/AI-related open source projects and/or converting ML/AI papers into code is a plus. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. At USAA our employees enjoy one of the best benefits package in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs. Additionally, our career path planning and continuing education will assist you with your professional goals. USAA also offers a variety of on-site services and conveniences to help you manage your work and personal life, including seven cafeterias, two company stores and three fitness centers. Relocation assistance is available for this position. Associated topics: artificial intelligence, chip, computer engineering, informatic, java, matlab, photonics, radar, robotics, schematic
Purpose of Job **100% Remote Work Available** USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. In each of the past five years, we've been a top-40 Fortune 100 Best Companies to Work For , and we've ranked among Victory Media's Top 10 Military Friendly Employers 13 years straight. We embrace a robust veteran workforce and encourage veterans and veteran spouses to apply. Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Translates complex analytical and technical concepts to non-technical employees Job Requirements Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works with IT to research architecture for new products, services, and features. Develops algorithms and supporting code such that research efforts are based on the highest quality data. Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. Minimum Requirements Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. 4 or more years of related experience and accountability for complex tasks and/or projects required. Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required. Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends required. Preferred Requirements Expertise in experimental design, advanced statistical analysis, and modeling to discover key relationships in data and applying that information to predict likely future outcomes; fluent in regression, classification, tree-based models, clustering methods, text mining, and neural networks. Proven ability to enrich (add new information to) data, advise on appropriate course(s) of action to take based on results, summarize complex technical analysis for non-technical executive audiences, succinctly present visualizations of high dimensional data, and explain & justify the results of the analysis conducted. Highly competent at data wrangling and data engineering in SQL and SAS as well as advanced machine learning (ML) techniques using Python; comfortable in cloud computing environments (Azure, GCP, AWS). Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use. PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc). Fluent in deep learning frameworks and libraries (TensorFlow, Keras, PyTorch, etc). Highly skilled in handling Big Data (Hadoop, Hive, Spark, Kafka, etc). Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus. Experience in publishing at top ML, computer vision, NLP, or AI conferences and/or contributing to ML/AI-related open source projects and/or converting ML/AI papers into code is a plus. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. At USAA our employees enjoy one of the best benefits package in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs. Additionally, our career path planning and continuing education will assist you with your professional goals. USAA also offers a variety of on-site services and conveniences to help you manage your work and personal life, including seven cafeterias, two company stores and three fitness centers. Relocation assistance is available for this position. Associated topics: c, c#, c c++, javascript, malware, matlab, processor, programmer, programming, python
10/02/2020
Full time
Purpose of Job **100% Remote Work Available** USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. In each of the past five years, we've been a top-40 Fortune 100 Best Companies to Work For , and we've ranked among Victory Media's Top 10 Military Friendly Employers 13 years straight. We embrace a robust veteran workforce and encourage veterans and veteran spouses to apply. Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions; Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Translates complex analytical and technical concepts to non-technical employees Job Requirements Partners with other analysts across the organization to fully define business problems and research questions; Supports SME's on cross functional matrixed teams to solve highly complex work critical to the organization. Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives. Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works with IT to research architecture for new products, services, and features. Develops algorithms and supporting code such that research efforts are based on the highest quality data. Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions. Minimum Requirements Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field. 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. 4 or more years of related experience and accountability for complex tasks and/or projects required. Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required. Proficient level of business acumen in the areas of the business operations, industry practices and emerging trends required. Preferred Requirements Expertise in experimental design, advanced statistical analysis, and modeling to discover key relationships in data and applying that information to predict likely future outcomes; fluent in regression, classification, tree-based models, clustering methods, text mining, and neural networks. Proven ability to enrich (add new information to) data, advise on appropriate course(s) of action to take based on results, summarize complex technical analysis for non-technical executive audiences, succinctly present visualizations of high dimensional data, and explain & justify the results of the analysis conducted. Highly competent at data wrangling and data engineering in SQL and SAS as well as advanced machine learning (ML) techniques using Python; comfortable in cloud computing environments (Azure, GCP, AWS). Hands-on experience developing products that utilize advanced machine learning techniques like deep learning in areas such as computer vision, Natural Language Processing (NLP), sensor data from the Internet of Things (IoT), and recommender systems; along with transitioning those solutions from the development environment into the production environment for full-time use. PhD in Computer Science, Applied Mathematics, Quantitative Economics, Operations Research, Statistics, or related field with coursework in advanced Machine Learning techniques (Natural Language Processing, Deep Neural Networks, etc). Fluent in deep learning frameworks and libraries (TensorFlow, Keras, PyTorch, etc). Highly skilled in handling Big Data (Hadoop, Hive, Spark, Kafka, etc). Experience in reinforcement learning, knowledge graphs and graph databases, Generative Adversarial Networks (GANs), semi-supervised learning, multi-task learning is a plus. Experience in publishing at top ML, computer vision, NLP, or AI conferences and/or contributing to ML/AI-related open source projects and/or converting ML/AI papers into code is a plus. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. At USAA our employees enjoy one of the best benefits package in the business, including a flexible business casual or casual dress environment, comprehensive medical, dental and vision plans, along with wellness and wealth building programs. Additionally, our career path planning and continuing education will assist you with your professional goals. USAA also offers a variety of on-site services and conveniences to help you manage your work and personal life, including seven cafeterias, two company stores and three fitness centers. Relocation assistance is available for this position. Associated topics: c, c#, c c++, javascript, malware, matlab, processor, programmer, programming, python
