Senior Machine Learning Engineer - Media Solutions

Senior Machine Learning Engineer, Media Solutions

Introduction to team

Expedia Group Advertising Engineering is dedicated to building innovative solutions for travel advertisers enabling them to use Expedia's network of leading travel brands and global sites. We have revolutionized the way brands reach and connect with online travel consumers, emerging as a leader in online advertising sales among travel and e-commerce brands. With a growing product portfolio offering a multitude of advertising and sponsorship opportunities, our Advertising team at Expedia has created a viable marketing platform for advertising partners to reach the 112 million worldwide monthly unique visitors that visit Expedia Group sites. 
 

We connect brands with hundreds of millions of travel consumers across our global network of leading travel e-commerce brands. Our products scale across the enter Expedia Group portfolio, with more than 200 branded sites in 75 countries and 35 languages. 

In this role, you will: 

• You will work in a cross-functional team of Software Engineers and Machine Learning engineers/Scientists across the organization to design and code large scale batch and real-time ML in the advertising domain
• Propose new ideas on applying ML to Advertising creatives, Ad selection, Ad Campaign, Experimentation and other areas of the Advertising life cycle
• Design, implement and deploy large scale data pipelines (both real time and batch)
• Lead the end-to-end product life cycle for mid to large machine learning projects
• Find and advocate for industry standards and best practices in machine learning engineering methodologies, techniques, and technologies
• Contribute to advancing the team's design methodology and quality programming practices
• Collaborate with other software engineers, mentor junior team members to build ML into existing systems and adapt best practices
• Innovate and implement new ideas to solve complex software problems
• Lead, coordinate, and collaborate on multiple concurrent and complex cross-organizational initiatives 
• Communicate and work with geographically distributed cross functional teams 

Experience and Qualifications:

• You have a degree in software engineering, computer science or a similar field.
• You are comfortable programming in Python and Scala (or Java)
• You are comfortable with Big Data technologies, in particular Hadoop, Hive, and Spark.
• You have experience in building real-time applications, preferably in Spark
• Experience in productionizing machine learning models including feature engineering, model scalability, model validation, and model deployment
• Strong experience with cloud computing platforms (AWS, EMR, Kubernetes, Docker)
• Strong experience working with ML platforms (Databricks, SageMaker, etc.)
• Strong command with machine learning libraries such as PyTorch and Tensorflow
• You have hands-on experience with workflow management tools (e.g. Airflow)
• Experience working with Agile/Scrum methodologies
• Familiarity with the e-commerce or travel industry