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Description

We work on state of the art agentic systems built around Large Language Models (LLM). This is a fast paced dynamic environment to rapidly experiment and deliver scaled runtime solutions based on experiments and research based on LLM agents.

As a Senior Machine Learning Engineer on the team, you will collaborate closely with science teams to bring research to production. This is a role that combines engineering knowledge (around machine learning, agent frameworks, computer vision), technical strength, and product focus. You will lead the design and development of novel ML systems, product integrations, and performance optimizations into production. While ensuring CI/CD compliance and ensuring best practices in software development and cloud infrastructure are followed (in the realm of scalability, security and availability).

Key job responsibilities

- Design, develop, test and deploy inference solutions for high-end LLMs

- Explore emerging inference optimization techniques

- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems

- Own the development and operationalization of solutions deployed in production.

- Design model experimentation processes and frameworks in synergy with our scientists.

- Help the team grow and cultivate best practices in software development, MLOps, and experimentation.

Basic Qualifications

- 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

Preferred Qualifications

- 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

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.