AI Research Manager

Description

Meta is seeking an AI Research Manager to lead teams of AI researchers and engineers advancing the frontier of artificial intelligence. In this role, you will drive the strategy, execution, and culture of AI research teams working on large-scale machine learning systems, foundation models, and applied AI innovations that power Meta's products and platforms. You will operate at the intersection of research and product impact, shaping the direction of AI capabilities while fostering a team culture of technical rigor, AI-native workflows, and cross-functional collaboration.

Responsibilities

Lead and manage multiple teams of AI researchers and technical leaders delivering large-scale machine learning and AI research projects with significant product impact Shape and actively influence the AI research strategy and roadmap, translating long-term research goals into prioritized, executable plans Drive adoption of AI tools and workflows across the team to expand delivery capacity and elevate engineering and research craft Maintain hands-on technical engagement by evaluating model architectures, research directions, and technical quality using AI-assisted tools and direct contribution Partner with product, design, and data science teams to ensure AI research outputs translate into measurable product improvements and user value Recruit, develop, and retain AI research talent, including growing other leaders into AI-era research managers with strong technical and organizational skills Proactively identify and resolve execution risks across research projects, including issues related to research vision, model quality, and team dependencies Establish and maintain a high bar for AI research quality, including responsible and ethical use of AI, model evaluation rigor, and reproducibility standards Represent the team's work and progress to leadership and cross-functional partners through clear written and verbal communication of research direction and outcomes Contribute to broader organizational health by mentoring leaders across the AI research organization and modeling effective AI practices at scale

Qualifications

8+ years of experience in AI, machine learning, or a closely related research or engineering field 4+ years of experience managing teams of researchers or engineers, including experience managing other people managers or technical leaders Experience defining and executing AI or machine learning research strategy across multiple concurrent projects with cross-functional dependencies Track record of delivering AI or machine learning systems from research through production at scale, with demonstrated product or business impact Experience communicating technical AI research direction and outcomes to both technical and non-technical stakeholders through written documents and presentations Demonstrated ability to integrate AI-native tooling and workflows into team processes to accelerate research velocity and quality Experience leading AI research teams working on foundation models, large language models, generative AI, or multimodal learning systems Track record of publishing or shipping novel AI research with measurable impact on product systems or the broader research community Experience building and scaling AI research organizations, including recruiting and developing researchers across a range of experience levels

Compensation: $219,000/year to $301,000/year + bonus + equity + benefits