Staff Research Engineer, MRS AI

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

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$184K-$257K From the posting source

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

97% 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

Seniority

Mid From the posting source

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff Research Engineer, MRS AI Bellevue, WA Meta is seeking a Staff Software Engineer to join the MRS AI Knowledge team, where we build horizontal ML solutions and AI infrastructure to improve the performance of our recommendation systems across Instagram, Facebook, Threads, Search, IG Reels, FB Reels, and more. In this role, you will lead the design and development of cutting-edge ML technologies - including AI Agents, LLMs, Graph Learning (GNN, GCN, Random Walk), and data optimization techniques - to power video, photo, audio, user, and text understanding and matching at scale. You will drive technical strategy, mentor other engineers, and partner closely with research and product teams to deliver meaningful product impact. Responsibilities: - Lead the design and implementation of recommendation system models and AI infrastructure based on state-of-the-art ML technologies including AI Agents, LLMs, Graph Learning (GNN, GCN, Random Walk), and CNN/SNN/TTSN architectures - Build and optimize ML solutions for video, photo, audio, user, and text understanding and matching across Meta's recommendation products - Drive data optimization initiatives including reweighting, sampling, denoising, and augmentation to improve model performance - Engage in and contribute meaningfully to projects' direction and roadmap, helping shape the technical vision for the team - Build deep understanding of Meta's recommendation products and content ecosystem, and effectively incorporate that knowledge into solution designs - Hold yourself and others accountable for engineering, ML, and data excellence across all deliverables - Communicate effectively with team and cross-functional partners to unblock work streams and deliver product impact -

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