Amazon
Senior Applied Scientist, Generative AI Innovation Center
Amazon, Bellevue, Washington, us, 98009
Senior Applied Scientist, Generative AI Innovation Center
Job ID: 3104512 | Amazon Web Services, Inc. The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. As an Applied Scientist, you will Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization Provide customer and market feedback to product and engineering teams to help define product direction About the team
Diversity and inclusivity are valued. While not all preferred qualifications may be met, candidates are encouraged to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications
PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD plus 5+ years in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science 5+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) Experience with deep learning libraries such as PyTorch, TensorFlow, MXNet; research publications in computer vision, deep learning, or machine learning 5+ years of building machine learning models or developing algorithms for business applications Preferred Qualifications
Experience with training and deploying machine learning systems to solve large-scale optimizations Experience in communicating technical concepts to a non-technical audience Experience identifying and resolving complex issues Experience delivering design solutions for projects of large scope and complexity Experience with open source tools and resources Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . Posted:
September 24, 2025 (Updated 14 days ago) Posted:
July 31, 2025 (Updated about 1 month ago) Posted:
July 30, 2025 (Updated 2 months ago) Share this job
Important FAQs for current Government employees Before proceeding, please review the following FAQs https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees
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Job ID: 3104512 | Amazon Web Services, Inc. The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. As an Applied Scientist, you will Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization Provide customer and market feedback to product and engineering teams to help define product direction About the team
Diversity and inclusivity are valued. While not all preferred qualifications may be met, candidates are encouraged to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications
PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD plus 5+ years in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science 5+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) Experience with deep learning libraries such as PyTorch, TensorFlow, MXNet; research publications in computer vision, deep learning, or machine learning 5+ years of building machine learning models or developing algorithms for business applications Preferred Qualifications
Experience with training and deploying machine learning systems to solve large-scale optimizations Experience in communicating technical concepts to a non-technical audience Experience identifying and resolving complex issues Experience delivering design solutions for projects of large scope and complexity Experience with open source tools and resources Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . Posted:
September 24, 2025 (Updated 14 days ago) Posted:
July 31, 2025 (Updated about 1 month ago) Posted:
July 30, 2025 (Updated 2 months ago) Share this job
Important FAQs for current Government employees Before proceeding, please review the following FAQs https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees
#J-18808-Ljbffr