Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Machine Learning Operation Engineer III (ML-OPS)

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! 

Who you are:

• Degree in software engineering, computer science, informatics or a similar field.

• Comfortable programming in Scala, Python or Java and have hands-on experience in OOAD, design patterns, SQL and NoSQL.

• Should have experience on MLOPS, ML Lifecycle, and Deployment of ML Models.

• You will be involved in ML-OPS and this role will not involve in creating ML Models.

• Knowledgeable in Hadoop-ecosystem technologies, in particular Hadoop, Hive, and Spark.

• Passionate about learning, especially in the areas of microservices, design patterns, system architecture, Data Science and Machine Learning.

• Experience of using cloud services (e.g. AWS)

• Experience working with Agile/Scrum methodologies.

• High-level understanding Machine learning pipelines

• Experience with machine learning frameworks such as TensorFlow

• Experience in crafting real-time streaming applications, preferably in Spark, and Kafka/KStreams.

• Familiar with workflow management tools (e.g. Airflow)

What you will do:

• 5+ Years of experience working in Machine learning Operation role.

• Work in a cross-functional team of Machine Learning engineers and Data scientists to design and code large scale batch and real-time data pipelines on the AWS.

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

• Communicate and work effectively 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 in software and development process 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

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

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™. © 2024 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 with 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, religion, gender, sexual orientation, national origin, disability or age.