Machine Learning Engineer AILLM Amazon Shopping
Machine Learning Engineer AILLM Amazon Shopping
Posted on :
15-03-2025
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1 Vacancy
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Job 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 highend LLMs
Explore emerging inference optimization techniques
Collaborate with crossfunctional 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.
5 years of noninternship 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
5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
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 highend LLMs
Explore emerging inference optimization techniques
Collaborate with crossfunctional 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.
5 years of noninternship 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
5 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151300/year in our lowest geographic market up to $261500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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