Senior Machine Learning Engineer

Senior Machine Learning Engineer

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 our travelers, our supply partners, 1000+ market managers and analysts.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'll 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

• 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 and mentor junior team members to 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

Who You Are:

• Degree in software engineering, computer science or a similar field; or equivalent related technical experience

• Comfortable programming in Python and Scala (or Java)

• 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

#L1-OM1

The total cash range for this position in Seattle is $161500 to $226000. Employees in this role have the potential to increase their pay up to $258500, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

The total cash range for this position in Austin is $161,500.00 to $226,000.00. Employees in this role have the potential to increase their pay up to $258,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.View our full list of benefits.

Expedia iscommittedto creating an inclusive workenvironmentwith a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.