Meta
Research Scientist, Machine Learning for Wearables
$122K–$181K
New York, NY · Full-time · Posted Oct 14, 2026
- Experience
- No years specified.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; the posting also lists a PhD in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Mathematics, or a relevant technical field.
- Visa sponsorship
- Must obtain work authorization in the country of employment by hire and maintain it during employment.
About the job
Research and develop machine-learning methods for wearable neuromotor interfaces, using biosignals to infer user intent and improve interaction speed and accuracy.
What you'll do
- Develop neural networks and other computational models using EMG, IMU, PPG, and related data.
- Build methods, tools, and infrastructure for analyzing multimodal datasets, and adapt ML methods for parallel computing environments.
- Help transition research into products.
What they ask for
- Bachelor’s degree in a relevant technical field or equivalent practical experience, completed before joining; the posting also lists a PhD in a relevant field.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Experience developing machine-learning models at scale.
- Experience with architectural patterns of large-scale software applications.
Nice to have
- First-author publications at peer-reviewed AI conferences.
- Experience bringing ML products from research to production or software engineering in industry.
Pay
$122,000/year to $181,000/year (base salary); bonus and equity also stated, with no amounts specified.
Tools
Python, PyTorch, EMG, IMU, PPG, distributed clusters, multicore SMP, GPU
AI focus
Develop machine-learning models that infer user intent from neuromotor signals and support wearable interfaces.
Model-written summary · the original posting is authoritative