Meta Research Scientist – Machine Learning
Meta (formerly Facebook) is hiring Research Scientists to join its world-class AI research organization, focused on advancing core machine learning methods that power Meta’s products and platforms at scale. Roles are available across multiple US locations including Menlo Park, CA; New York, NY; Seattle, WA; and Bellevue, WA. Applications are accepted on a rolling basis — there is no fixed deadline.
Role Highlights & Benefits
- Salary range: $184,000 – $257,000/year base, plus bonus and equity (total compensation is significantly higher).
- Work on cutting-edge research in Reinforcement Learning (RL), Large Language Models (LLMs), computer vision, NLP, and recommendation systems.
- Publish research at top-tier venues: NeurIPS, ICML, ICLR, CVPR, EMNLP and others.
- Collaborate with leading researchers and engineers building systems used by billions of people.
- Comprehensive benefits: health, dental, vision insurance; 401(k) with company match; parental leave; on-site amenities.
- Access to Meta’s world-class compute infrastructure for large-scale ML research.
Requirements
- PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a related field (or near completion).
- Strong publication record at peer-reviewed ML conferences (NeurIPS, ICML, ICLR, CVPR, EMNLP, etc.).
- Experience applying ML research to large-scale systems.
- Expertise in one or more of: deep learning, RL, NLP, computer vision, recommendation systems, or multimodal AI.
- Strong programming skills in Python; familiarity with PyTorch or similar frameworks.
How to Apply
- Browse and apply for open Research Scientist positions at metacareers.com/areas-of-work/research/.
- Applications are reviewed on a rolling basis — apply as soon as possible for best consideration.
- Interview process: initial phone screen, followed by a full virtual interview loop.
Meta’s AI research spans fundamental breakthroughs to real-world product impact. If you hold (or are completing) a PhD in ML and want to conduct research at scale, this is one of the premier industry research roles available globally.
Always verify role details, salary, and application requirements on the official Meta Careers website before applying.