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Amazon.com Services LLC

Sr. Machine Learning Engineer, Special Projects

Seattle, WA $168k - $227k/yr Full time Posted 1mo ago

Job Description

Sr. Machine Learning Engineer, Special Projects at Amazon.com Services LLC in Seattle, WA (onsite); salary USD 168,100 - 227,400 per year.

Responsibilities

  • Spearhead large-scale technical initiatives and make critical architectural decisions
  • Identify and resolve complex technical challenges, often in ambiguous problem spaces
  • Design and implement scalable data processing pipelines and infrastructure to support ML model training workflows
  • Develop tools for data preprocessing, feature engineering, and efficient resource utilization for large-scale AI training jobs
  • Create monitoring systems, debugging tools, and performance optimization solutions for ML infrastructure
  • Collaborate to integrate ML frameworks with production systems and implement version control for both code and model artifacts
  • Mentor and guide MLEs and SDEs, fostering their growth and the overall team’s capabilities

Requirements

  • 5+ years of professional software development experience (non-internship)
  • 5+ years of programming experience in at least one programming language
  • 5+ years of experience leading design or architecture of new and existing systems, including design patterns, reliability, and scalability
  • Experience as a mentor, tech lead, or leading an engineering team

Benefits

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Parental leave

About the Team

  • We represent Amazon's ambitious vision to solve the world's most pressing challenges. We operate with the agility of a startup while backed by Amazon's resources and operational excellence.
  • We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.
  • Our team is for engineers who enjoy teamwork, cross-functional collaboration and building new things.
  • You need to be a fast learner able to independently disambiguate requirements.

A Day in the Life

  • Our main data consumers and producers are science teams.
  • You will work closely with scientists from various domains to clarify requirements, design new systems, upgrade existing services, and provide operational support to mitigate issues.
  • Your work will largely involve data services and pipelines.

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