Machine Learning Engineer II
UK - London
Expedia Group
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Machine Learning Engineer II
Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building creative, high-scale distributed systems using a diverse set of state of the art technologies? Our team wants to talk to you!
What you’ll do
You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production.
You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation.
You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule.
You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects.
Who you are
2+ years experience in ML and software engineering for Bachelor’s, 1+ years for Master’s
Developed software in a team environment of at least 5 engineers (agile, version control, etc.).
Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure.
Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms
Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc)
Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc).
Experience working with containerisation, deployment and orchestration technologies (Docker, Kubernetes, Airflow, CI/CD pipelines, etc)
Experience with automated testing, including unit, functional, and integration testing
Excellent organizational and communication skills
Bachelor’s or master’s degree in CS or similar
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.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Big Data CI/CD Databricks Distributed Systems Docker Engineering Feature engineering Java Kafka Kubernetes Machine Learning ML models Pipelines Python PyTorch Scala Spark TensorFlow Testing XGBoost
Perks/benefits: Career development
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