Distinguished Engineer (Machine Learning - Discovery)

Join Roblox as a Distinguished Engineer (Machine Learning - Discovery) and lead the technical vision and execution for all machine learning initiatives across search and discovery teams. You will be responsible for setting the AI strategy, driving business outcomes, and building and evolving infrastructure for training, serving, and evaluating machine learning models. You will collaborate with other teams within Roblox and be an ambassador for the company in the industry and communities.

- Assurer la direction technique et l'exécution de toutes les initiatives d'apprentissage automatique au sein des équipes de recherche et de découverte. - Développer et faire évoluer l'infrastructure pour l'entraînement, le service et l'évaluation des modèles d'apprentissage automatique traditionnels et des modèles d'IA générative. - Collaborer avec d'autres équipes au sein de Roblox pour s'assurer que nous construisons des produits avec une attitude axée sur la communauté et l'entreprise.

- A creative and strategic approach to solving hard problems. You simplify the complex. You bring in fresh ideas from new places - A generalist approach and you have mastered several languages and technologies already; you can easily adapt to any situation - Experience crafting and building large scale machine learning models with billions of parameters and launching them into production - The ability to roll up your sleeves to tackle data problems or machine learning problems when they come up - Deep technical expertise, you always start with the needs of the user, whether they are Roblox users or internal engineers - Initiated and facilitated challenging technical decisions across multiple teams and organizations. You are empathetic and find common understanding - BS in Computer Science or a related discipline, MS/PhD are a definite plus - 10+ years of experience and a consistent record of delivering and improving large-scale search and recommendation systems - The capability of breaking down long-term product requirements into iterative deliverable stages