Machine Learning Software Development Engineer, AI Ops Integration
Department:
Job Summary
As a Machine Learning Software Development Engineer youll design and deploy production ready systems that combine traditional ML with modern agentic architectures to solve impactful operational problems at scale.
This role combines the excitement of a startup environment with the scale of Amazon Operations. Youll research state-of-the-art open source and internal tools and will tackle highly ambiguous problems. If you thrive on ownership and dealing with ambiguity passionate about AI and want to fundamentally influence how Amazon Operations leverages AI this role offers an extraordinary opportunity to make your mark.
Key job responsibilities
What youll do:
Build and deploy ML/LLM-powered features across the full stack - from data pipelines and model serving to user-facing internal tools
Implement AI agent components that automate complex operational workflows across multiple systems and decision points
Develop internal front-end applications (dashboards tools products) that make AI outputs accessible to non-technical operations users at scale
Build integrations across internal APIs databases and MCP servers to enable multi-system orchestration
Contribute to the ML lifecycle: data pipelines experimentation deployment monitoring and evaluation
Implement guardrails evaluation frameworks and human-in-the-loop patterns for production AI systems
Collaborate with operations teams program/product and scientists to translate requirements into shipped software
The ideal candidates are engineers whove shipped ML/LLM systems to production understand the practical challenges of MLOps and want to work on problems where the impact is measurable in both customer experience and operational efficiency.
About the team
Were a cross-functional team of machine learning engineers ML & AI scientists and Technical PM focused on automating operational decisions in Amazons supply chain.
Our charter is to identify high-impact automation opportunities build AI agents that can handle them reliably and deploy these systems into production
where they process real decisions daily.
The team operates with a build-measure-learn cycle. We work closely with operations partners to understand their problems prototype solutions quickly measure impact rigorously and iterate based on real-world performance.
- Bachelors degree or equivalent
- Experience in machine learning data mining information retrieval statistics or natural language processing
- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns reliability and scaling) of new and existing systems
- Experience programming with at least one software programming language
- Experience with full software development life cycle including coding standards code reviews source control management build processes testing and operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
About Company
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