Machine Learning Engineer II
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Machine Learning Engineer II
Expedia is the global leader in travel. From the practical matters of booking flights, cars, hotels, packages, local activities, or vacation rentals to the realization of dreams and bucket lists, we cover the entire breadth of this deep and varied relationship.
Some of our partners are huge brands, and some are individuals with a studio apartment to rent. Our customers are diverse, and we seek to deliver value and a great experience. Our technical challenges are endlessly complex and yet meaningful and exciting.
The Meta Marketing Technology Team is looking for a passionate Machine Learning Engineer II to join our team.
This individual will work closely with the Bidding Operations and Data Science Teams, comprised of 30+ engineers and data scientists who are focused on solving ambitious marketing problems through data science techniques to enable EG to be aggressive in the Meta and SEM Marketing space through optimization of the auction space.
This is a high-visibility team and the work done by the team directly impacts the conversion metrics for EG. We believe that the best solutions for a diverse customer base come from a diverse team. We seek new ideas, different ways of thinking, varied backgrounds and approaches. Expedia is committed to crafting 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.
If you are driven by data and fascinated by building robust data and machine learning pipelines to process massive amounts of data at scale and speed, then we want to hear from you.
What you’ll do:
Work in a cross-functional team of Data and Machine Learning engineers to design and code large-scale batch and real-time data pipelines in AWS
Build tools and/or evaluate third-party solutions where appropriate to ensure that our world-class machine learning platform is continuously improving
Make recommendations for leveraging emerging technologies and machine learning/software design patterns
Reach out to meet peers across environments and collaborate to solve problems
Seek knowledge from subject matter experts when needed
Understand the importance of system and technology integration and the basic features and facilities involved in the integration process
Apply software design principles, data structures and/or design patterns and computer science fundamentals to write code that is clean, maintainable, optimized, and modular with good naming conventions
Apply knowledge of database design to solve data requirements
Develop data applications using distributed ETL frameworks
Coordinate stakeholder input and collaboration efforts when developing solutions to issues
Execute tasks and/or provides data to support implementation of holistic solutions that forge linkages between structure, people, process and technology
Apply formal training methods to current workload
Feel comfortable challenging authority/the status quo
Report clearly on current work status
Who you are:
Bachelor's or Master's degree in related technical field or equivalent related professional experience
Relevant experience includes: Developed software in a team environment of at least 5 engineers (agile, version control, etc.); Built and maintained a software project/product in production environments in cloud infrastructure; & Knowledge of or experience in products using streaming technologies
Demonstrate strength in Python and can work with a variety of programming and markup languages
Hands-on experience with OOAD, design patterns, SQL and NoSQL
Familiar with more than one data stores or API access patterns and Big Data applications such as Hive, ElasticSearch, PostgreSQL, DataBricks, Kedro, Dremio, Tableau, etc.
Familiar with Spark and how to create Spark applications in PySpark or Scala, as well as with creating Airflow DAGs
Familiarity with advanced machine learning libraries such as PyTorch and Tensorflow/Keras
Good understanding of machine learning pipelines
Test and monitor your own code and understand testing and monitoring tools. An intuition for different approaches for model training, parameters to use, optimization approach, etc.
Understand how team goals fit a business need
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, religion, gender, sexual orientation, national origin, disability or age.