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Research Engineer, Neural Interfaces (Kinematics)

New York, NY
USD 208k - 208k
PyTorch Android Matlab Machine Learning Deep Learning R C++ Unity Python
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Description
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
  • 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
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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.

$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.


Equal Employment Opportunity and Affirmative Action
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
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