Machine Learning Engineer, Search Experimentation and ML

World's largest e-commerce company focused on customer-centric innovation and technology
$129,300 - $223,600
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · E-Commerce
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Description For Machine Learning Engineer, Search Experimentation and ML

The Amazon Search Relevance team is at the forefront of improving customer search experiences across one of the world's largest product catalogs. As a Machine Learning Engineer on the Search MLOps team, you'll play a crucial role in accelerating ML lifecycle automation and implementing MLOps best practices across CDO. Working closely with AWS SageMaker, you'll build state-of-the-art ML automation features and establish common ML lifecycle best practices. This position offers a unique opportunity to gain expertise in highly sought-after skills at Amazon scale, while working with SageMaker technologies to create production pipelines for the entire ML model lifecycle. Your work will impact not only CDO organizations but also external AWS customers operating at Amazon scale. The role combines machine learning, software engineering, and AWS ML architecture, making it perfect for someone who is collaborative, innovative, and passionate about large-scale ML systems. You'll be responsible for designing scalable infrastructure, developing monitoring tools, and implementing ML pipelines while maintaining high standards of code quality and engineering practices.

Last updated 3 months ago

Responsibilities For Machine Learning Engineer, Search Experimentation and ML

  • Design and build scalable infrastructure for training, evaluating and deploying ML models
  • Design and develop tools for monitoring ML model performance at scale
  • Design and develop lineage and artifact tracking infrastructure
  • Design and develop reproducible ML Pipelines
  • Champion engineering best practices
  • Produce clean, high-quality code, tests, and documentation

Requirements For Machine Learning Engineer, Search Experimentation and ML

Python
  • 3+ years of professional software development experience
  • 2+ years of system design/architecture experience
  • Experience in machine learning, data mining, or natural language processing
  • Experience programming with at least one software programming language
  • Knowledge of full software development life cycle
  • Bachelor's degree in computer science or equivalent (preferred)

Benefits For Machine Learning Engineer, Search Experimentation and ML

Medical Insurance
Equity
  • Competitive base salary
  • Equity compensation
  • Full range of medical benefits
  • Financial benefits
  • Total compensation package

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