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Research Engineer, Neural Interfaces (Kinematics)

AT Meta
Meta

Research Engineer, Neural Interfaces (Kinematics)

New York, NY

Meta is seeking Research Engineers with experience in computer vision, human behavior and/or kinematics to help us create and scale joint data collection of human movement and biosensor data within an interdisciplinary team of research scientists and engineers. This work will support the development of novel wearable sensors and algorithms to power the next generation of neuromotor interfaces and augmented reality systems. Help us unleash human potential by removing the bottlenecks between user intent and action.

Research Engineer, Neural Interfaces (Kinematics) Responsibilities:

  • Collaborate with EMG research and engineering teams to design, optimize, and deploy novel human kinematic tracking experiments, spanning both hardware and algorithms
  • Deploy multimodal data collection pipelines in large scale industrial lab environments
  • Develop technical and procedural safeguards to ensure the integrity and validity of experimental data
  • Develop and evaluate ML models to characterize the impact of kinematic and CV-based features on gesture detection and control
  • Extend our training pipelines, analysis workflows, and associated infrastructure to support novel data streams and tasks
  • Build automation tools to accelerate the processing of experimental data
Minimum Qualifications:

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  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Research-oriented software engineering skills (SciPy ecosystem/ML tools, MATLAB)
  • Programming experience in Python and hands-on experience with PyTorch
  • Research experience in machine learning, deep learning, computer vision and/or natural language processing
Preferred Qualifications:
  • Master's degree in AI, machine learning, computer science, electrical engineering, applied mathematics, physics, neuroscience, or related technical fields
  • 3+ years of experience in industrial R&D and/or product development
  • Comfort with rapid prototyping and disciplined software development processes
  • Experience developing end-to-end ML pipelines, including: dataset preprocessing, model development and evaluation, and software integration
  • Experience building software frameworks for high-throughput data acquisition using computer vision
  • Programming experience with C++, Android, and Unity
  • Experience working on problems related to pose estimation and movement tracking
  • Research and software engineer experience demonstrated via an internship, contributions to open source, work experience, or coding competition
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@fb.com.

$70.67/hour 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.

Client-provided location(s): New York, NY, USA
Job ID: a1KDp00000E1HwEMAV
Employment Type: Other

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

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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