Reality Labs (RL) is Meta’s innovation engine for next-generation AR/VR, AI, and wearable technologies. Our Audio team pioneers research and development at the intersection of sound, machine learning, and human experience—enabling new ways for people to connect, communicate, and collaborate. We are seeking an accomplished Research Scientist with expertise in biosignal collection, processing, and interpretation, as well as machine learning model development, training, and evaluation. You will be a technical leader on an new project focused on AI wearables—advancing Meta’s Superhuman Communication & Connection initiative. This is a unique opportunity to shape the future of human interaction through cutting-edge biosignal and audio technologies.By joining our team, you will have the opportunity to work on breakthrough technologies that redefine how people connect and communicate, collaborate with world-class researchers and engineers in a mission-driven environment, and shape the future of AI wearables and superhuman audio experiences.
Research Scientist, Biosignal Processing Responsibilities:
- Lead research and development of advanced biosignal acquisition and processing pipelines for body tracking with wearable devices (e.g., Radar, Laser Speckle, Ultrasound, IMU, etc.)
- Design, implement, and evaluate machine learning models for biosignal interpretation, classification, and prediction
- Drive integration of biosignal and audio data streams to enable novel AI-powered communication and connection experiences
- Collaborate with cross-functional teams (hardware, software, ML, UX) to deliver robust, scalable solutions for real-world deployment
- Mentor and guide scientists and engineers
- foster technical execution and innovation
- Publish research findings in top-tier conferences and journals
- contribute to Meta’s intellectual property portfolio
- Identify and pursue new research directions at the intersection of biosignals, audio, and AI
- Translate research breakthroughs into impactful product features and experiences
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- PhD or equivalent experience in Biomedical Engineering, Electrical Engineering, Computer Science, Neuroscience, or related field
- 5+ years of hands-on research experience in biosignal collection, processing, and interpretation
- Proven track record in developing, training, and evaluating machine learning models for biosignal data
- Publication record in relevant conferences/journals (e.g., EMBC, NeurIPS, ICASSP, MLHC)
- Proficiency in Python, C++, or MATLAB for prototyping and algorithm development
- Experience with ML frameworks (e.g., PyTorch, TensorFlow)
- Proven communication, collaboration, and leadership skills
Preferred Qualifications:
- Experience with real-time biosignal processing on embedded or wearable platforms
- Background in multimodal sensing, AR/VR, or human-computer interaction
- Demonstrated ability to translate research into impactful product features
- Experience leading cross-functional research teams
About Meta:
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.
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@meta.com.
$184,000/year to $257,000/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.
