AI Research Scientist, VLM (vision language models)

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

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$154K-$217K 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

66% 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, VLM (vision language models) Bellevue, WA; Menlo Park, CA • Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research. • Work towards long-term ambitious research goals, while identifying intermediate milestones. • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. • Work with a large team. • Contribute to publications and open-sourcing efforts. • Mentor other team members. Play a significant role in healthy cross-functional collaboration. • Prioritize research that can be applied to Meta's product development. Responsibilities: - Push state of the art in multimodal generative AI - Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants - Mentor and work with AI/ML engineers to find a path from research to production Minimum qualifications: - Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience - A PhD in AI, computer science, or related technical fields - Publications in machine learning, computer vision, NLP, speech - Experience writing software and executing complex experiments involving large AI models and datasets - Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred qualifications: - First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL) - Direct experience in generative AI and LLM research - Fluent in Python and PyTorch (or equivalent) Meta builds technologies

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