Job Details
Machine Learning Engineer IIIAre 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 consumersThis 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, Sage maker, Airflow, Databricks, Kubernetes, AWS and much more!What you will do: You will work in a cross-functional team of Machine Learning engineers and Machine Learning Scientists to design and code large scale batch and real-time ML 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.
Communicate and work with geographically distributed cross functional teams Participate in code reviews to assess overall code quality Resolve problems and roadblocks as they occur with peers and help unblock junior members of the team Define, develop, and maintain artifacts like the technical design or partner documentation.
Drive for continuous improvement within an agile development team Participate in user story created in collaboration with the team Support and troubleshoot data and/or system issues as neededWho you are: Bachelor's in software engineering, computer science, or related technical field or related professional experience You are comfortable programming in Python and Scala and have a solid background in software engineering (back-end engineering).
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 have a good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch.
You are familiar with cloud services (eg, AWS) and workflow orchestration tools (eg, Airflow).
You have experience working with Agile/Scrum methodologies You are familiar with the e-commerce or travel industry