Senior Machine Learning Engineer
If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form. This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application.
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 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’ll do:
Work in a cross-functional team of Machine Learning engineers and Data scientists to design and code large scale batch and real-time data pipelines on the AWS
Design, implement and deploy large scale data pipelines (both real time and batch) and back-end services on Big Data and AWS platforms
Lead the end-to-end product life cycle for mid to large machine learning/data engineering projects: Design, development, model validation/testing, model deployment, and providing operational excellence and support
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 and prototype creative solutions to enable product MVP's
Independently understand scheduling, cost constraints, and impact to other teams; and make resource and architectural trade-offs based on those factors
Anticipate and prevent problems and roadblocks, before they occur, and present technical issues and their impact to leadership
Lead, coordinate, and collaborate on multiple concurrent and complex cross-organizational initiatives
Effectively build and maintain a network of key contacts across company, and leverage these contacts to achieve results
Communicate and work effectively with geographically distributed cross functional teams
Drive for continuous improvement in software and development process within an agile development team
Who you are:
Bachelor's or Master's Degree in software engineering, computer science, informatics or in a related technical field; or equivalent related professional experience
8 to 10+ years of work experience in software engineering
4+ years’ experience in designing and implementing Big Data applications (data ingestion, real-time data processing and batch analytics) in Spark Streaming, Kafka, Hadoop
Experience on Hadoop-ecosystem technologies in particular MapReduce, Spark, Hive, YARN
Experience in productionizing machine learning models including feature engineering, model scalability, model validation, and model deployment
Solid server-side programming skills in multiple languages (Scala/Java and Python), and hands-on experience in OOAD, design patterns, NoSQL and SQL
Strong experience with cloud computing platforms (AWS, EMR, Kubernetes, Docker)
Strong experience working with ML platforms (Databricks, SageMaker, etc.)
Solid knowledge in SQL (T-SQL/PL-SQL), ETL and data modelling
Experience with microservice architecture, and design
Experience on machine learning toolkits like spark mllib, H20, scikit-learn, R and ML techniques
Strong command with machine learning libraries such as PyTorch and Tensorflow and knowledge of common integration patterns for serving inference with them
Familiar with training models with very large datasets- strategies for parallelizing and optimizing the training jobs especially with GPUs or large-compute
You have hands-on experience with workflow management tools (e.g. Airflow)
Familiar with machine learning inference at scale. Can instrument streaming or parallel inference tasks to accommodate large traffic or volume of data
Experience working with Agile/Scrum methodologies
Familiarity with the e-commerce or travel industry
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™.
© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
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.