Machine Learning Engineer

Amazon.com Services LLC

Bellevue (WA)

On-site

USD 144,000 - 194,000

Full time

2 days ago
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Benefits offered by this job

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

Job summary

Amazon.com Services LLC in Bellevue, WA is seeking a Software Engineer for an onsite role to design, build, and deploy production-grade ML models and systems at massive scale. You’ll collaborate across the full lifecycle to turn prototypes into reliable production experiences and improve model performance over time while ensuring software reliability and operational excellence.

The position involves designing ML data pipelines and feature engineering workflows, partnering with scientists to

Qualifications

  • 3+ years of non-internship software development experience
  • 2+ years of design/architecture experience for distributed systems
  • 1+ year of software development engineer or related experience
  • 1+ year designing and developing large-scale distributed software
  • 1+ year of OO design experience
  • Bachelor’s degree or foreign equivalent in CS/Engineering/Math
  • Experience programming in at least one language

Responsibilities

  • Design, develop, and maintain ML data pipelines and feature engineering workflows
  • Design and implement software across major system components with scalability and security in mind
  • Collaborate with Applied Scientists to productionize research prototypes
  • Monitor model performance and implement retraining strategies
  • Contribute to end-to-end SDLC including code reviews, testing, and deployment
  • Investigate operational issues and drive permanent fixes for reliability
  • Collaborate with customers and stakeholders to deliver customer value
  • Evaluate new technical approaches including generative AI and adoption opportunities

Skills

ML pipelines
Feature engineering
Software design
OOM design
C#/C++/Java/Perl
OO design
Stakeholder collaboration

Education

Bachelor's degree

Job description

Join a team building production-grade machine learning solutions at massive scale. In this onsite role in Bellevue, WA, you will design, build, and deploy machine learning models and systems, with strong support for turning prototypes into reliable production experiences. You will also collaborate across the full end-to-end lifecycle, helping improve model performance over time while contributing to software reliability and operational excellence.

Compensation: USD 143,700 - 194,400 per year.

What you’ll do
  • Design, develop, and maintain ML data pipelines and feature engineering workflows
  • Design and implement software solutions across major components of your team’s systems, balancing functional requirements with scalability, performance, and security
  • Partner with Applied Scientists and Data Scientists to translate research prototypes into production systems
  • Monitor model performance in production and implement retraining strategies
  • Contribute across the software development lifecycle including product definition, scoping, design, code review, testing, deployment, and operational support, while supporting teammates in writing high-quality, maintainable code
  • Investigate operational issues, identify root causes, and drive permanent fixes to improve software reliability and operational processes
  • Collaborate with customers, stakeholders, and cross-functional peers to understand business context and deliver the right customer value
  • Evaluate new technical approaches and tools, including generative AI capabilities, and recommend adoption where they improve productivity and solution quality
Day in the life
  • Review design documentation for a feature you are leading, then support the team through code reviews with constructive feedback
  • Work with product partners to clarify requirements, then focus on writing and testing code
  • Investigate operational metrics, trace findings to root causes, and start implementing fixes
  • Mentor newer engineers and contribute to decisions that shape how your team’s software evolves
Requirements
  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture experience (design patterns, reliability, and scaling) for new and existing systems
  • 1+ year of software development engineer or related occupational experience
  • 1+ year designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl
  • 1+ year of Object Oriented Design experience
  • Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience programming with at least one software programming language
Preferred qualifications
  • 3+ years of full software development life cycle experience including coding standards, code reviews, source control management, build processes, testing, and operations
  • Bachelor’s degree in computer science or equivalent
Technologies

C#, C++, Java, Perl, generative artificial intelligence

Benefits
  • Sign-on payments and restricted stock units (RSUs)
  • Health insurance including medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans; EAP and Mental Health Support; Medical Advice Line; Flexible Spending Accounts; Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave

Location: Bellevue, WA (onsite)

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