Senior Machine Learning Engineer - AI program (W/M/NB)

Job Description

Our commitment to innovation and excellence has driven us to seek out the best talent to help us build the future. We’re building up a multidisciplinary HQ AI Programs team, dedicated to supporting corporate functions and Global Publishing departments in the implementation of ambitious AI projects.

In that context, we’re looking for a Senior Machine Learning Engineer. The archetypal mission for this position would be to:

• Stay up to date with the research literature
• Translate research papers into operational code, implementing them from scratch and customizing them when needed
• Write, optimize, and produce high quality code that can run at scale, using modern best practices, sharing back to the open-source community when possible
• Ship models or prediction pipelines to production in our internal or public cloud infrastructure

Key Responsibilities

• Taking ownership over the projects you build and pushing them ahead, with a strong autonomy and creativity, keeping in mind the constraints of production environments.

• Experiment with a “try hard, fail fast” mindset: Research is evolving fast, and no one can know all the subfields of Machine Learning by heart. But we are never afraid to throw a punch at a new paper or an open-source repository with messy code, and so shouldn’t you be.
• Develop and maintain scalable machine learning pipelines and infrastructure.
• Monitor and evaluate the performance of deployed models, ensuring accuracy and efficiency.

Qualifications

Qualifications

• Strong experience in machine learning engineering or a related field, with proven track record of deploying machine learning models in production environments.
• Strong programming skills – Python of course, but experience with a lower-level language would be a big plus – and a keen passion for coding.
• Extensive experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
• Understanding of microservice-based architectures. Experience with REST APIs and models deployment to production using Kubernetes in the cloud would be a big plus.
• Strong communication skills – English mandatory.

Additional Information

Ubisoft's perks

• 💰 Profit Sharing, yearly company saving plan. 25 paid time off + 12 additional paid days off. 50% of your Navigo pass is paid by the company, lunch vouchers (9€/day), healthcare for you and your family, and lots of Ubisoft additional perks. Maternity leaves of 20 weeks, paternity/co-parental leaves of 7 weeks.
• 📍 Our brand new office is located in Saint Mandé, (Metro line 1, Saint Mandé station). Gym available in the building. Ability to work remotely.

Recruitment process

• [30 minutes] : phone call with a Recruiter,
• [60 minutes] : visio interview with the manager of the role,
• [60 minutes] : visio interview with your n+2

Additional Information

Ubisoft offers the same job opportunities to all, without any distinction of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ubisoft ensures the development of an inclusive work environment which mirrors the diversity of our gamers’ community.

Check out this guide to help you with your application, and learn about our actions to encourage more diversity and inclusion.

Company Description

Ubisoft’s 19,000 team members, working across more than 30 countries 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.