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2023-01-31

Machine Learning Engineer II

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Expedia
Machine Learning Engineer II
Seattle, US
146,000 - 233,000
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Job Description

If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the [Accommodation Request](https://careers.expediagroup.com/accommodation- request/) form. This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application.

** Machine Learning Engineer II**

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 ML Platform team 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!

What you 'll do:

  • You will write code that is clean, maintainable, optimized, modular with good naming conventions and in a way that enables additional capabilities in the Expedia-wide Machine Learning Platform

  • You will work across teams of Machine Learning engineers and Machine Learning Scientists to design and code large scale batch and real-time ML platform capabilities

  • 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

  • You will select valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i.e., not just order-taking). Use advanced and sophisticated understanding of the business problem space to inform the design of the solution

  • Communicate and work with geographically distributed cross functional teams

  • Participate in code reviews to assess overall code quality and flexibility

  • Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team. Follow through on details and drive issues to closure

  • 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

Who you are:

  • Bachelor's or Master’s in software engineering, computer science or a related technical field; or equivalent related professional experience

  • 1-3 year of industry experience in comparable roles

  • You are comfortable programming in Python and Java

  • You have a good understanding of machine learning pipelines and machine learning frameworks such as Tensor Flow and Pytorch and worked on real ML projects that have reached production environment

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

  • You have experience working with Agile/Scrum methodologies

The total cash range for this position in Seattle is $105,500.00 to $148,000.00. Employees in this role have the potential to increase their pay up to $169,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

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™.

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

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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