Senior Machine Learning Engineering Manager (Applied Research)

Join Pinterest as a Senior Machine Learning Engineering Manager (Applied Research). In this role, you will lead and develop a team of machine learning researchers and engineers, drive the technical roadmap for next-generation recommendation systems, and collaborate with cross-functional teams to solve complex engineering challenges. You should have a strong background in machine learning, experience in people management, and a passion for continuous learning.

- Gérer, diriger et développer une équipe de chercheurs et d'ingénieurs en apprentissage automatique au sein de l'équipe de sciences appliquées. - Posséder la feuille de route technique et la vision stratégique pour les systèmes de recommandation de prochaine génération de Pinterest. - Collaborer avec les équipes d'ingénierie, de publicité, d'infrastructure, de contenu et de science des données pour prototyper, construire et mettre à l'échelle des solutions.

- Proven Execution: A track record of delivering high-impact initiatives across multiple product areas, with a demonstrated ability to influence peers and leadership using data-driven insights - Academic Credentials: MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field - Technical Depth: 7+ years of combined post-graduate academic and industry experience applying state-of-the-art ML technologies to real-world problems on web-scale data, alongside 3+ years of direct people management experience - Talent Development: Experience mentoring, coaching, and up-leveling software and machine learning engineers - Business & Product Acumen: The ability to transform vague, ambiguous questions into well-defined projects with clear success metrics that drive business decisions - Continuous Learner: A self-propelled learner who stays ahead of industry trends, new tools, and emerging methodologies, with an appetite for building proof-of-concept prototypes - Communication & Credibility: Excellent communication skills with the ability to distill complex technical findings for leadership and product teams, backed by a strong track record of publications in machine learning, AI, data science, or related technical fields - Experience leveraging modern LLM/Agentic workflows and generative AI capabilities to accelerate engineering productivity and context extraction - Track record of publishing at top-tier ML/RecSys conferences (KDD, RecSys, NeurIPS, CVPR)