Machine Learning Engineer, Model Customization, Generative AI Innovation Center jobs in United States
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Amazon · 3 weeks ago

Machine Learning Engineer, Model Customization, Generative AI Innovation Center

Amazon Web Services (AWS) is a leading cloud platform that empowers customers to leverage state-of-the-art AI technologies. The role involves driving the development of custom Large Language Models (LLMs) and optimizing AI models for high-performance deployment on AWS’s custom AI accelerators, while collaborating with customers to create tailored generative AI solutions.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

Responsibilities

Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency
Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF)
Optimize AI models for deployment on AWS Inferentia and Trainium, leveraging the AWS Neuron SDK and developing custom kernels for enhanced performance
Interact with enterprise customers and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions

Qualification

Deep LearningGenerative AILarge Language ModelsMachine Learning FrameworksSoftware Development Life CycleCollaborationProblem SolvingCommunication

Required

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Bachelor's degree in computer science or equivalent
Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference)
Hands-on experience with generative AI technology

Preferred

3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
1+ years of programming with at least one software programming language experience
1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework

Benefits

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

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 Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase