Research Scientist - Embodied Intelligence
At Meta Reality Labs, we're developing advanced body encoding solutions and embodied agent systems with rich, multi-modal contextual understanding-enabling natural, expressive communication through realistic avatars. We are looking for a creative, skilled and motivated Research Scientist to build the core technologies that power seamless interactions for embodied agents. This includes developing state-of-the-art multi-modal LLMs for audio-visual understanding of users and behavior simulation, motion synthesis models that drive human-like movement for realistic avatars, and collaborating closely with avatar teams to ensure a cohesive, end-to-end user experience. You will work with research scientists, software engineers and hardware engineers to design technical solutions in a fast-paced, multidisciplinary environment.
Research Scientist - Embodied Intelligence Responsibilities:
- Contribute to develop novel embodied agent systems for VR, MR and AR systems by applying and advancing state-of-the-art AI technologies
- Consistently and sustainably advance the state of AI for your problem, including setting and executing against roadmaps for 6-month plus timeframes
- Design and prototype interactive experiences and evaluate them through user research
- Design and prototype data collection/curation framework to accelerate algorithm development
- Collaborate and work across teams to develop and optimize end-to-end experiences
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- PhD degree in AI, computer science, data science, or related technical fields, or equivalent practical experience
- 2+ years of experience holding an industry, faculty, academic, or government researcher position
- Publications in machine learning, computer vision, NLP, audio in peer-reviewed conferences (e.g. CVPR. ECCV, ICCV, NeurIPS, SIGGRAPH, ICML, ICLR, ICASSP)
- Experience solving complex problems and comparing alternative solutions, tradeoffs to determine a path forward
- Experience in training, fine-tuning, and/or experimenting with large language models
- Proven ability to effectively collaborate with cross-functional teams
- Experience with joint hardware-software development and associated rapid prototyping
- Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product
- Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Experience building multi-modal LLM solutions with full development cycle in an industry setting
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
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Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. 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 accommodations-ext@fb.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- Snacks
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Leave of Absence
Financial and Retirement
- 401(K)
- 401(K) With Company Matching
- Pension
- Company Equity
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Learning and Development Stipend
- Promote From Within
- Mentor Program
- Shadowing Opportunities
- Access to Online Courses
- Lunch and Learns
- Internship Program
Diversity and Inclusion
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