Amazon · 11 hours ago
Machine Learning Engineer II, Shopping Conversation Foundation
Seattle, Washington, USA
Full-time
Onsite
Mid, Senior Level
$144K/yr - $194K/yr
3+ years expAmazon is a leading company in e-commerce and cloud computing, seeking a Machine Learning Engineer II for their Shopping Conversation Foundation team. The role involves developing and maintaining services for evaluating and deploying large language models, collaborating with scientists on data processing, and influencing tech strategy to enhance customer experiences.
RetailArtificial Intelligence (AI)E-CommerceLogisticsDeliveryFoundational AI
Responsibilities
Develop and maintain key services needed for evaluating and deploying large language models required for building conversational agents
Work with peers to investigate design approaches, prototype new technology and evaluate technical feasibility
Work closely with Applied scientists to process massive data, scale machine learning models while defining and optimizing criteria critical to the success of the customer experience
Lead and influence the overall tech strategy by helping define data, enrichment, model optimizations and evaluation
Lead the system architecture, and spearhead the best practices that enable a quality infrastructure
Work in an Agile/Scrum environment to deliver high quality software
Tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon
Learn technologies and algorithms in the field of Generative AI advancing our journey to build the best conversational shopping agent
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 for enhanced performance
Interact with applied scientists and foundational model providers to understand their business and technical challenges, co-developing tailored generative AI solutions
Qualification
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
Experience programming with at least one software programming language
Hands-on experience with deep learning and/or machine learning methods (e.g. for training, fine tuning, and inference)
Preferred
3+ 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
1+ years of experience hands-on experience with developing, deploying, or optimizing machine learning models using a recognized ML library or framework
Benefits
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
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
2026-02-12
2026-02-12
Company data provided by crunchbase