Research Scientist, Neural Interfaces

5 days ago


New York, New York, United States META Full time
Research Engineer, Neural Interfaces (Kinematics)

Meta is seeking a Research Engineer with expertise in computer vision, human behavior, and/or kinematics to contribute to the development of novel wearable sensors and algorithms for neuromotor interfaces and augmented reality systems.

Responsibilities:
  • Collaborate with EMG research and engineering teams to design, optimize, and deploy human kinematic tracking experiments, encompassing 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 training pipelines, analysis workflows, and associated infrastructure to support novel data streams and tasks.
  • Build automation tools to accelerate the processing of experimental data.
Requirements:
  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
  • Research-oriented software engineering skills, including proficiency in the SciPy ecosystem and ML tools, as well as experience with 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 a related technical field.
  • 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.

Meta is committed to providing reasonable support 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 us.

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.



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