Staff Machine Learning Engineer (Unpublished R&D Product)

Join Riot Games as a Staff Machine Learning Engineer for an unpublished R&D game project. You will be responsible for the strategy, design, and implementation of ML capabilities, working closely with developers, designers, and data scientists. You will report to the Engineering Manager and establish research-to-production practices, evaluation practices, and reliability standards. You will also mentor engineers and partner disciplines, identify technical risks and bottlenecks, and propose solutions.

- Définir la stratégie, la conception et la mise en œuvre des capacités d'apprentissage automatique pour un projet de jeu non publié. - Collaborer avec les développeurs, les concepteurs et les scientifiques des données pour identifier et définir les opportunités d'amélioration. - Établir des pratiques de recherche à la production et équilibrer les techniques de pointe avec la fiabilité de la production.

- We’re looking for someone who is passionate about enabling great player experiences, thrives in cross-disciplinary collaboration, stays current on the latest ML techniques, and can apply them pragmatically to challenging product problems - Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction - Experience with reinforcement learning, including applying RL to practical production problems - Proficiency with modern ML/data science libraries and frameworks such as PyTorch, TensorFlow, pandas, etc - Strong communication skills across technical and non-technical audiences - B.S. in Computer Science or equivalent experience - 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles, ideally within real-time or interactive environments - Experience collaborating regularly with teammates across multiple disciplines - Proficiency in Python or similar programming languages - For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! - Experience with multi-agent reinforcement learning - Experience in developer tooling - Experience implementing framework-level UI systems - Experience in infrastructure and MLOps, such as ML cloud services, containers, and model telemetry - Experience working in a AAA game engine (e.g. Unity, Unreal) - Proficiency in C++