Research Engineer, MRS AI

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

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

$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)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

30% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

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

Role

Role function

Engineering 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

Not verified

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

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Research Engineer, MRS AI Bellevue, WA; Menlo Park, CA; New York, NY Meta is seeking a Research Engineer to join our Meta Recommendation Systems (MRS) AI Algorithm Team. Join us to build Meta's User Intelligence Engine - a unified platform that models who the user is, what they need, and why they act by integrating state, representation, reasoning, and multi-architecture modeling to power Meta's Recommendation System with personalized, context-aware experiences across the ecosystem. We're bringing together two powerhouses: - Generative AI/LLMs for semantic understanding and reasoning - Meta's world-class ads & organic ranking expertise for optimized decision-making at scale As part of a rapidly growing ML team, you'll shape the next generation of User Understanding models and Meta Recommendation Systems, delivering personalization that feels intuitive, adaptive, and truly human. Responsibilities: - Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques - Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability - Develop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learning - Design and implement generative modeling solutions for data augmentation - Develop and deploy machine learning pipelines - Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models Minimum qualifications: - 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.

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