Machine Learning Engineer III

Expedia Group

Location: Seattle, Washington

Job Type: Full time

Posted


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Position Description:

Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers?

This is exactly what we, the Machine Learning Engineering group in Expedia, do.  Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform Expedia’s data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our travelers. Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, Sagemaker, Airflow, Databricks, Kubernetes, AWS and much more! 

Responsibilities:

  • You will work in a cross-functional team of Machine Learning engineers and Machine Learning Scientists to design and code large scale batch and real-time ML

  • 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

  • Participate in user story creation in collaboration with the team

  • Support and troubleshoot data and/or system issues as needed

Qualifications:

  • You have a degree in software engineering, computer scienceor a similar field.

  • You are comfortable programming in Python and Scala

  • You are knowledgeable in Big Data technologies, in particular Hadoop, Hive, and Spark.

  • You have experience in building real-time applications, preferably in Spark

  • You have a good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and Pytorch

  • You are familiar with cloud services (e.g., AWS) and workflow orchestrationtools (e.g., Airflow)

  • You have experience working with Agile/Scrum methodologies.

Nice to have:

  • You are familiar with the e-commerce or travel industry.

#LI-NS1

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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