Machine Learning Engineer III

Job title:

Machine Learning Engineer III

Company

Expedia

Job description

If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the . 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: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!What you will do:Work in a cross-functional team of Machine Learning engineers and Machine Learning Science to design and code large scale batch and real-time ML pipelinesPrototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision for the teamCommunicate and work with geographically distributed cross functional teamsParticipate in code reviews to assess overall code quality and flexibilityResolve problems and roadblocks as they occur with peers and help unblock junior members of the team. Follow through on details and drive issues to closureDefine, develop, and maintain artifacts like technical design or partner documentationDrive for continuous improvement within an agile development teamParticipate in user story creation in collaboration with the teamSupport and troubleshoot data and/or system issues as neededWho you are:Degree in software engineering, computer science or a similar field.Comfortable programming in Python and Scala (or Java)Knowledgeable in Big Data technologies, in particular Hadoop, Hive, and Spark.Experience in building real-time applications, preferably in SparkGood understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PytorchFamiliar with cloud services (e.g., AWS) and workflow orchestration tools (e.g., Airflow)Experience working with Agile/Scrum methodologies.Familiar with the e-commerce or travel industry.About Expedia GroupExpedia 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: 2029030-50Employment 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 .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, religion, gender, sexual orientation, national origin, disability or age.

Expected salary

Location

London

Job date

Sun, 26 May 2024 00:18:55 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (tendersglobal.net) you saw this job posting.