Amazon Web Services (AWS) · 6 hours ago
Senior Machine Learning Engineer, Model Customization, Generative AI Innovation Center
San Francisco, CA
Full-time
Onsite
Senior Level
$151K/yr - $262K/yr
5+ years expAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, and they are seeking a Senior Machine Learning Engineer to drive the development of custom Large Language Models (LLMs). This role involves designing distributed training pipelines, customizing LLMs for various applications, and collaborating with customers to develop tailored generative AI solutions.
ConsultingDevOpsInformation TechnologySoftwareWeb Development
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
Required
5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
Hands-on experience with deep learning and machine learning methods (e.g., for training, fine tuning, and inference)
Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies
Preferred
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
2+ years of building machine learning models or developing algorithms for business application experience
Hands-on experience with at least one ML library or framework
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon Web Services (AWS)
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing.
10001+ employees
H1B Sponsorship
Amazon Web Services (AWS) 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
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Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
BIRD Foundation
2025-01-22Grant
Leadership Team
Matt Garman
Chief Executive Officer
Anand Desikan
CTO, CXO Advisor, and Enterprise Technologist
Recent News
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