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:

1. 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 pipelines
2. 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
3. Communicate and work with geographically distributed cross functional teams
4. Participate in code reviews to assess overall code quality and flexibility
5. 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
6. Define, develop, and maintain artifacts like technical design or partner documentation
7. Drive for continuous improvement within an agile development team
8. Participate in user story creation in collaboration with the team
9. Support and troubleshoot data and/or system issues as needed

Who you are:

1. Degree in software engineering, computer science or a similar field.
2. Comfortable programming in Python and Scala (or Java)
3. Knowledgeable in Big Data technologies, in particular Hadoop, Hive, and Spark.
4. Experience in building real-time applications, preferably in Spark
5. Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and Pytorch
6. Familiar with cloud services (e.g., AWS) and workflow orchestration tools (e.g., Airflow)
7. Experience working with Agile/Scrum methodologies.
8. Familiar with the e-commerce or travel industry.

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