Criteo is looking to solve the problem of predicting outcomes, optimizing advertiser metrics such as ROAS, and maximizing retailer revenue through the use of machine learning models.
Requirements
Proficient in core software engineering concepts, including data structures, algorithms, and performance optimization, with hands-on experience using tools like SQL, Spark, and PyTorch.
Experienced in designing and building scalable models capable of handling and training on billions of requests daily.
BS in Software Engineering or related field, with 3+ years of experience in Machine Learning or Data Science.
Responsibilities
As an ML engineer on the Onsite Auction team, you will design, develop, and maintain machine learning models to predict outcomes, optimize advertiser metrics such as ROAS, and maximize retailer revenue.
Collaborate closely with other ML teams at Criteo to productionize cutting-edge ML techniques.
Understand product and customer priorities, and balance those against operational and technical needs.
Guarantee top-quality code; practice code reviews, unit tests, integration tests, and end-to-end tests in a continuous integration environment.
Other
A strong communicator and collaborative team player, dedicated to working effectively with others and contributing to team growth.
Committed to building exceptional customer experiences through quality design, analysis, and testing.
BS in Software Engineering or related field, with 3+ years of experience in Machine Learning or Data Science.
We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non-job-related factors or legally protected characteristics.
A creative technologist with a strong desire to ship high-quality, impactful code, while continuously solving problems and enhancing product value.
