Meta
AI Research Manager - Meta Superintelligence Labs
$219K–$301K
Menlo Park, CA · Manager · Full-time · Posted Aug 12, 2026
- Experience
- 6+ years of industry experience in AI research, machine learning, or a closely related technical field; 4+ years managing teams of researchers or engineers, including technical leaders or managers.
- Education
- PhD degree in Computer Science, Machine Learning, or a related technical field.
About the job
Leads research teams developing and shipping frontier AI, overseeing LLM post-training research, evaluations, datasets, and technical execution.
What you'll do
- Build, mentor, and manage research scientists and engineers while guiding technical leaders.
- Set research direction and oversee the LLM post-training stack, translating needs into plans and measurable outcomes.
- Lead cross-functional projects and contribute hands-on through code review, technical guidance, and research-quality standards.
What they ask for
- PhD in Computer Science, Machine Learning, or a related technical field.
- 6+ years of industry experience in AI research, machine learning, or a closely related technical field.
- 4+ years managing teams of researchers or engineers, including other technical leaders or managers.
- Experience with frontier-quality/state-of-the-art Large Language Models and deep, practical LLM post-training.
Nice to have
- Peer-reviewed publications in deep learning, language models, or data-centric AI; experience with post-training pipelines, synthetic data, or evaluation infrastructure.
- Experience with agent workflows, long-horizon agents, personalization or search, distributed systems, and high-throughput data pipelines.
Pay
$219,000/year to $301,000/year USD base salary; bonus and equity (amounts not stated)
Tools
Large Language Models, SFT, RLHF, RLVR
AI focus
Frontier AI research and development, especially LLM post-training, evaluations, datasets, and agentive workflows.
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