Meta
Research Scientist Intern, AI-Driven Neural Interfaces (PhD)
Menlo Park, CA +2 · Internship · Posted Oct 20, 2026
- Location
- Menlo Park, CA
Burlingame, CA
New York, NY - Experience
- No specific number of years stated.
- Education
- Currently has, or is in the process of obtaining, a PhD in machine learning, computational neuroscience, speech and language technologies, signal processing, electrical engineering, computer science, statistics, physics, or a related field.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
About the job
Research and develop machine-learning methods and interaction techniques that use body-sensor signals to infer user intent for neural interfaces.
What you'll do
- Develop computational models using EMG, IMU, and other sensor data.
- Build methods and infrastructure to analyze multimodal datasets and adapt machine learning to distributed clusters and GPUs.
- Collaborate with engineering and HCI teams to translate research into technology and user experiences.
What they ask for
- Currently pursuing or obtaining a PhD in a listed or related field.
- Research implementation skills, including scientific Python and deep-learning frameworks such as PyTorch.
- Experience in one or more areas including machine learning, deep learning, signal processing, computer vision, probabilistic graphical models, or natural language processing.
- Must obtain and maintain work authorization in the employment country and intend to return to the degree program after the internship.
Nice to have
- Experience with biosignals or wearable sensors, multi-channel or real-time signal processing, time-series sequence modeling, or distributed/multi-GPU model training.
- Experience translating machine-learning research into prototypes or products, or software engineering in industry including prior internships.
Pay
$7,650/month to $12,667/month (currency not stated; compensation type not stated)
Tools
EMG, IMU, PPG, EEG, scientific Python, PyTorch, distributed clusters, GPUs
AI focus
Develop AI and machine-learning methods to interpret sensor signals and infer user intent for neural interfaces and new interaction experiences.
Model-written summary · the original posting is authoritative