Staff Software Engineer

What You'll Do

• You will join a team in charge of the AI-Platform used by many Criteos to experiment and operate their machine learning models.
• The team mission is to enable all people using AI for Performance and Innovation to use best-in-class AI methods in Criteo Production: build and operate the ML OPS stack of Criteo.
• Help Criteos that consult with our team on their machine learning experiments and production usage of our platform.
• Design and implement new features and guide the architectural evolution of the platform.
• Investigate and solve scalability & performance bottlenecks that arise with platform usage growth.
• Migrate to newer or better libraries / frameworks.

Our stack

• A C# client prediction library used in very high scale contexts.
• Scala/Java and C# components to handle the experimentation and production pipelines.
• Nvidia Triton for high scale deep prediction inference on GPUs.
• Python tools and libraries used by ML engineers.

Who You Are

• You have at least 4-5 years of experience with developing and extending large and complex systems.
• You have MLOps experience.
• You are proficient in, at least one programming language such as C#, Scala, and Python. You can adapt very quickly, choose and use the best tool for the job.
• You love algorithms and new technology.
• You are also a great team worker and a great communicator in English, both written and spoken. You are strongly committed to quality designs, automated testing and documentation.
• 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!