AI Research Scientist Intern, Neural Interfaces(PhD)

Meta; Seattle (WA); On-site; USD 85,000 - 141,000; Full time

Job summary

Reality Labs at Meta is seeking PhD research interns to advance neural interfaces that interpret body signals non-invasively. You'll join a multi-disciplinary team to study neuromotor signals, develop signal processing and ML methods, and explore AI-first interaction techniques for VR/AR.

Internships run 12 to 24 weeks with multiple start dates; candidates should be pursuing a PhD in a related field and be authorized to work in the U.S.

Qualifications

• PhD in ML, computational neuroscience, CS, statistics, physics, or related field.
• Research-focused in Python and DL frameworks like PyTorch.
• Experience in ML/DL, signal processing, CV, graphical models, or NLP.
• Must have work authorization in country of employment.

Responsibilities

• Research and develop neural networks or ML models using EMG/IMU data.
• Design tools to analyze multimodal datasets.
• Adapt ML methods to distributed clusters and GPUs.
• Collaborate with engineering and HCI teams to translate research into tech.
• Use quantitative methods to define and advance research agenda.

Skills

Scientific Python

PyTorch

Machine learning

Signal processing

Computer vision

Natural language processing

Education

PhD in ML/CS/related field

Job description

Summary:

Reality Labs at Meta is looking for PhD research interns to advance our pioneering work in neural interfaces, which grew out of the acquisition of CTRL-labs. We're building a practical interface that draws on rich signals measured non-invasively from the body, including surface electromyography (EMG), inertial measurement units (IMU), and photoplethysmography (PPG). This technology could become one of the main pillars for interaction with virtual and augmented realities. Help us unleash human potential by removing the bottlenecks between user intent and action.In this role you will join a world-class, multi-disciplinary team of researchers. You'll investigate the nature of human neuromotor and other sensor signals, develop new signal processing and machine learning methods to infer a user's intent, and help create AI-first new interaction techniques and user experiences. Our internships are twelve (12) to twenty-four (24) weeks long, and we have various start dates throughout the year.

Required Skills:

AI Research Scientist Intern, Neural Interfaces(PhD) Responsibilities:

1. Research and develop neural networks, machine learning, or other computational models that use EMG, IMU and other relevant sensor data to advance neural interface capabilities.
2. Design methods, tools, and infrastructure to analyze and make use of rich multimodal datasets.
3. Adapt machine learning methods to modern parallel computing environments (e.g., distributed clusters and GPUs).
4. Work with engineering and Human-Computer Interaction (HCI) teams to turn research into new technology and user experiences.
5. Use quantitative research methods to define, iterate on, and advance key areas of our research agenda.

Minimum Qualifications:

1. 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
2. Research-oriented implementation skills, including fluency in scientific Python and deep learning frameworks such as PyTorch, as shown by academic or professional research experience or contributions to open source projects
3. Experience in machine learning, deep learning, signal processing, computer vision, probabilistic graphical models, and/or natural language processing
4. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:

1. Intent to return to degree program after the completion of the internship
2. Experience working with biosignals or wearable sensor data (e.g., EMG, IMU, PPG, EEG)
3. Experience with multi-channel array processing or real-time signal processing
4. Experience with sequence modeling of time-series data
5. Experience training machine learning models at scale, including distributed or multi-GPU training on large datasets
6. Experience moving machine learning research into prototypes or products
7. Experience in software engineering in industry, including prior internships

Public Compensation:

$7,650/month to $12,667/month + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affi??

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].