AI Research Scientist - Meta Superintelligence Labs

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

$122K-$181K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

35% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Research Scientist - Meta Superintelligence Labs Menlo Park, CA Meta is seeking a Research Scientist to join its Meta Superintelligence Labs organization, focused on making significant advances in foundational modeling. We develop voice frontier models spanning contextual ASR, TTS, speech-to-speech, and other capabilities. Responsibilities: - Perform research to advance the state of the art in speech and audio LLMs - Work with researchers and engineers in a highly collaborative environment to achieve goals and milestones - Influence the future of research in frontier modeling with detailed technical reports Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - Ph.D. and established track record of leading and/or contributing to influential research, e.g. as evidenced by high-impact publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP) - Experience communicating research for public audiences of peers, as well as non-technical audiences - Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Preferred qualifications: - Relevant candidates will have a track record on developing speech and audio large language models and experience with posttraining and evaluation of LLMs - Direct experience in generative AI, and LLM research - Hands-on experience on speech processing (ASR, TTS, S2S, etc.) - Hands-on experience applying RL techniques to fine-tune large language models Meta builds technologies that help people connect, find

Read the full description at www.metacareers.com. FewerJobs shows a preview and links to the original posting.