Senior Machine Learning Software Engineer - Fraud Detection

Job Description

Ubisoft's 19,000 team members, working across more than 40 locations around the world, are bound by a common mission to enrich players' lives with original and memorable gaming experiences. Their dedication and talent have brought to life many acclaimed franchises such as Assassin's Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six, and many more to come.

Ubisoft is an equal opportunity employer that believes diverse backgrounds and perspectives are key to creating worlds where both players and teams can thrive and express themselves If you are excited about solving game changing challenges, cutting edge technologies and pushing the boundaries of entertainment, we invite you to join our journey and help us create the unknown.

Job Description

Ubisoft is natively data-driven: from the core of our games to our marketing actions, we're leveraging data and algorithms.

Part of the Ubisoft Data Office, the role of the Consumer Data Domain is to leverage data to improve the consumer experience engaging them all along their journeys while making sure they feel safe and cared for.

Your role:

Build scalable machine learning systems to preserve the trust and safety of our users. Our motto is to never stop at the prototyping phase by combining research and engineering cycles with the objective to deploy production-grade products.

In that context, we're looking for a Senior Machine Learning Engineer with past production experience, ideally in the field of anomaly / fraud detection.

Missions:

The archetypal missions for this position would be to:
• Take ownership over the projects you build, interact with stakeholders to build them and push them ahead.
• Evaluate new machine learning techniques and models, implementing them from scratch if needed.
• Write, optimize, and produce high quality code that can run at scale, using modern best practices.
• In collaboration with data and software engineers, ship models or prediction pipelines to production in our internal or public cloud infrastructures.

Qualifications

Whether you're a software engineer who loves Machine Learning, or a research person that loves engineering, the key traits needed for this role are:
• Strong Python software development skills (best practices, documentation, CI/CD).
• Experience deploying and monitoring production models (MLOps).
• Strong communication skills, English mandatory (POC, reporting, project management).
• Experience with distributed data processing (Spark).
• Knowledge of Machine learning & Deep Learning frameworks.
• Strong communication skills (English mandatory).

Jobcode: Reference SBJ-gkjx28-18-190-253-56-42 in your application.