Machine Learning Engineer

What if, in your next adventure, you were surrounded by people who, like you, look for an unlimited playground to explore, share, and test, would you care to hear more? You've opened the right door! As an R&D team, making sure your ideas are heard and encouraged is what we strive to do!What You'll Do : 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.Who You Are : BS in Software Engineering or related field, with 3+ years of experience in Machine Learning or Data Science.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.Passionate about transforming complex requirements into clear, maintainable, and high-performance solutions.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.A creative technologist with a strong desire to ship high-quality, impactful code, while continuously solving problems and enhancing product value.We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we'd love to see your application!Who We Are : Criteo is the global commerce media company that enables marketers and media owners to deliver richer consumer experiences and drive better commerce outcomes through its industry leading Commerce Media Criteo, our culture is as unique as it is diverse. From our offices around the world or from home, our incredible team of 3,600 Criteos collaborates to develop an open and inclusive environment. We seek to ensure that all of our workers are treated equally, and we do not tolerate discrimination based on race, gender identity, gender, sexual orientation, color, national origin, religion, age, disability, political opinion, pregnancy, migrant status, ethnicity, marital or family status, or other protected characteristics at all stages of the employment lifecycle including how we attract and recruit, through promotions, pay decisions, benefits, career progression and development. We aim to ensure employment decisions and actions are based solely on business-related considerations and not on protected characteristics. As outlined in our Code of Business Conduct and Ethics, we strictly forbid any kind of discrimination, harassment, mistreatment or bullying towards colleagues, clients, suppliers, stakeholders, shareholders, or any visitors of Criteo. All of this supports us in our mission to power the world's marketers with trusted and impactful advertising encouraging discovery, innovation and choice in an open internet.Why Join Us : At Criteo, we take pride in being a caring culture and are committed to providing our employees with valuable benefits that support their physical, emotional and financial wellbeing, their interests and the important life events. We aim to create a place where people can grow and learn from each other while having a meaningful impact. We want to set you up for success in your job, and an important part of that includes comprehensive perks & benefits. Benefits may vary depending on the country where you work and the nature of your employment with Criteo. When determining compensation, we carefully consider a wide range of job-related factors, including experience, knowledge, skills, education, and location. These factors can cause your compensation to vary.