AI Research Manager

Onsite$219,000 - $301,000/yrPosted today

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Job details

Location: Menlo Park, California
Work type: Onsite
Compensation: $219,000 - $301,000/yr
Posted: today
Apply on: metacareers.com

About this role

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

Minimum 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

Preferred Qualifications

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 - $301,000/year; Country: US; Bonus eligible; Equity eligible

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

California Notice

For those who live in or expect to work from California if hired for this position, please click here for additional information.

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Accommodations

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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