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Expedia Group Logo

Machine Learning Engineer III

Expedia Group

$137,500 - $220,000
Sep 18, 2025
Seattle, WA, USA
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Expedia Group is looking to improve their travel services by leveraging cutting-edge technology and creating groundbreaking solutions for their partners, and the Meta/SEM Bidding Programs team needs a Machine Learning Engineer III to contribute to this effort

Requirements

  • 3+ years of experience machine learning engineering pipeline end-to-end in production environments (including feature engineering, model training, model scoring, model validation, etc.) and streaming application in a hybrid/cloud infrastructure
  • Command with Spark and how map-reduce works, how to evaluate, optimize, and debug Spark applications
  • Command with machine learning libraries such as PyTorch and Tensorflow, knowing common integration patterns for serving inference with them
  • Familiarity with data access such as defining IAM policies for S3 buckets
  • Can instrument streaming or parallel inference tasks to accommodate large traffic or volume of data
  • Understanding and designing moderately complex systems

Responsibilities

  • Proactively team up with peers across the organization to build an understanding of cross dependencies and shared problem solving
  • Develop and test complex or non-routine software applications and related programs and procedures to ensure they meet design requirements
  • Effectively apply knowledge of software design principles, data structures and/or design patterns and computer science fundamentals to write code that is clean, maintainable, optimized, and modular with good naming conventions
  • Contribute to design discussion for big data applications
  • Apply data manipulation techniques commonly used by Data Scientists
  • Coordinate bringing together different stakeholders with varied perspectives to develop solutions to issues and contributes own suggestions
  • Think holistically to identify opportunities around policies/ processes to increase efficiency across organizational boundaries

Other

  • Bachelors or Masters degree in a technical area or relevant work experience
  • Ability to work in a team environment and collaborate with peers
  • Strong communication and problem-solving skills
  • Ability to work in a fast-paced environment and adapt to changing priorities
  • Must be authorized to work in the United States