Amazon · 1 day ago
Applied Scientist, Generative AI Innovation Center, Model Customization
Bellevue, Washington, USA
Full-time
Hybrid
Mid, Senior Level
$136K/yr - $223K/yr
5+ years expAmazon Web Services, Inc. is at the forefront of Machine Learning and AI, seeking an Applied Scientist for their Generative AI Innovation Center. The role involves collaborating with customers to implement generative AI solutions, optimizing models, and contributing to innovative projects that address real-world challenges.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
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
Qualification
Required
3+ years of building machine learning models for business application experience
PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, or Master's degree plus 5 years of relevant work experience
5+ years of hands on experience with Python to build, train, and evaluate models
2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
Scientific publication track record at top-tier AI/ML/NLP conferences or journals
Preferred
2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques
Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization
Track record of building and deploying ML models at scale
Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)
Experience with open-source frameworks for model customization like trl, verl, and for building LLM-powered applications like LangChain, LlamaIndex, and/ or similar tools
Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
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2026-01-09
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Company data provided by crunchbase