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.
Requirements
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.
Ubisoft
Ubisoft Reflections is a fun and friendly team that values openness and inclusivity
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