Research Scientist - Reality Labs

Meta; New York (NY); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking a Research Scientist to advance AI-powered neuromotor interactions through expertise in Large Language Models. You will lead the design of next-generation LLMs for wearable devices while overseeing a small team of researchers. This role combines cutting-edge research with direct product impact in Meta's industry-leading EMG program.

The ideal candidate will have a Bachelor's degree or ongoing PhD in a relevant field, profound knowledge in LLMs, and a strong programming background. Compensation ranges from $184,000 to $257,000 a year, plus bonuses and equity.

Qualifications

• Expertise in LLM architecture design and deployment.
• Experience leading research and technical projects.
• Ability to collaborate across cross-functional teams.

Responsibilities

• Lead design and optimization of LLMs for wearable devices.
• Set technical direction for related research projects.
• Conduct research to improve language model performance.

Skills

Large Language Models expertise

Machine Learning experience

Python programming

Deep learning frameworks

Research experience

Education

Bachelor's degree in Computer Science or related field

PhD in Computer Science or related field

Tools

PyTorch

Job description

Summary

Reality Labs at Meta is seeking a Research Scientist with deep expertise in Large Language Models (LLMs) to advance our work in AI-powered neuromotor interactions for wearable devices. We are building next-generation language capabilities that enable natural, expressive, and intelligent communication through Meta's wearable platforms via our industry-leading electromyography (EMG) program. Our team within the Wearables Input and Interaction organization is multi-disciplinary, combining machine learning, language modeling, and on-device optimization to push the boundaries of what's possible with language AI on constrained hardware. This is a unique opportunity to conduct cutting-edge LLM research with direct product impact - shaping how people interact with the next generation of wearable devices. We are looking for a researcher who can drive innovation in language model development, optimization, and deployment while setting technical direction for a small team. If you are passionate about building state-of-the-art language models and translating research into real-world products, we want to hear from you.

Required Skills

Research Scientist - Reality Labs Responsibilities:

1. Lead the design, development, and optimization of Large Language Models for wearable device applications
2. Set technical direction for LLM-related research projects involving 3-4 researchers and engineers
3. Conduct research and experiments to improve language model accuracy, efficiency, and on-device performance
4. Collaborate with cross-functional teams (engineering, HCI, product) to transition LLM research into production
5. Explore and adopt novel model optimization, quantization, and efficiency techniques for resource-constrained environments
6. Stay current with state-of-the-art advances in LLMs, NLP, and related fields

Minimum Qualifications

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. Currently has, or is in the process of obtaining, a PhD in Computer Science, Machine Learning, Natural Language Processing, or a related technical field. Degree must be completed prior to joining Meta
3. Demonstrated expertise in Large Language Models - including architecture design, training, fine-tuning, and/or deployment
4. Programming experience in Python and hands-on experience with deep learning frameworks such as PyTorch
5. Experience developing machine learning models at scale from inception to impact
6. 5+ years of research experience working autonomously on ML/NLP problems

Preferred Qualifications

1. Proven track record of architecting knowledge distillation (KD) pipelines to compress frontier LLMs into optimized edge models
2. Experience bringing LLM-based products from research to production
3. Demonstrated software engineering experience via internship, work experience, or widely used contributions in open source repositories
4. Technical leadership experience setting direction for a team of 3-4 researchers/engineers
5. First-authored publications at peer-reviewed AI/NLP conferences (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR, NAACL)
6. Experience with on-device or edge language model optimization (quantization, sparsity, distillation, knowledge distillation)
7. Deep expertise in logit matching, task-specific SFT data synthesis, and instruction-tuning sub-billion models for production tasks

Public Compensation

$184,000/year to $257,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Aff...

Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].