Machine Learning Engineer III

Expedia Group

Location: Seattle, Washington

Job Type: Full time

Posted


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Machine Learning Engineer III

Are you interested in making machine learning accessible to developers and non-technical users alike? Do you want to be part of a team building robust machine learning platform? Our mission is to reduce the time taken for EG (Expedia Group) to build and deploy models that will potentially impact millions of travelers across the US. Our work spans across a various steps in the Machine Learning Lifecycle including but not limited to Feature Engineering, Model Training and Model Deployment where possible. We use a diverse technology stack ranging from Java, Python, AWS, Kubernetes, Helm, Airflow, Spring Boot, Tensorflow and much more!

What you'll do:

  • Work in a cross-functional team of Machine Learning engineers while collaborating with Machine Learning Scientists to design and implement a multi-tenant Machine Learning system

  • Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision for the team

  • Communicate and work with geographically distributed cross functional teams

  • Participate in code reviews to assess overall code quality

  • Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team

  • Define, develop, and maintain artifacts like technical design or partner documentation

  • Drive for continuous improvement within an agile development team

  • Support and troubleshoot any system issues as needed

Who you are:

  • 3-5 years or experience in Software Engineering with a Bachelors or Masters degree in a related field

  • Comfortable programming in Java, Python, Scala, Spark and/or Hive

  • Knowledgeable in Machine Leaning lifecycle from data gathering, labelling, feature engineering, model training, model evaluation, deployment and serving

  • Have experience in building real-time applications, preferably in Java and Python using frameworks like Spring boot and Flask

  • Familiar with cloud services (e.g., AWS) and workflow orchestration tools. (e.g. Airflow)

  • Have experience working with Agile/Scrum methodologies

  • Have a decent understanding machine learning frameworks such as TensorFlow and Pytorch

  • Familiar with building UI components

  • Familiar with the e-commerce or travel industry

  • May not work on building models from scratch. However it is a plus if you understand how the model building lifecycle works

#L1-OM1

About Expedia Group

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.

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Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
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