Research Scientist
Responsibilities
- Design, plan, and conduct human-subject studies exploring natural motion, biomechanics, and user comfort in AR/VR input systems.
- Lead data acquisition, annotation, and quality assurance for machine learning hand pose and gesture recognition models.
- Develop and execute ML training, evaluation, and experimentation pipelines, including performance analysis and failure investigations.
- Collect and analyze biomechanical and physiological time-series data (kinematics, EMG, force), applying statistical and computational methods to extract insights.
- Build and maintain data processing and visualization pipelines using Python (pandas, matplotlib, etc.), Matlab, or R.
- Integrate and synchronize sensors and research equipment (motion capture, EMG, force plates, accelerometers, etc.) with ML workflows.
- Translate technical findings into clear documentation, reports, and presentations for cross-disciplinary teams.
- Partner with engineers and prototypers to ensure ML models and device designs are aligned with human factors principles.
- Stay current with advances in machine learning, biomechanics, and interaction research, applying new methods to ongoing projects.
- PhD (or equivalent experience) in Computer Science, Machine Learning, Biomechanics, Mechanical Engineering, Human Factors, or related field.
- 5+ years of experience in machine learning operations, data analysis, and visualization.
- Proficiency in Python (pandas, numpy, matplotlib, seaborn, etc.) and experience with statistical analysis and data quality pipelines.
- Demonstrated expertise with biomechanical research methods (motion capture, EMG, force sensors, kinematics).
- Proven track record of designing and executing human participant studies.
- Strong technical writing and communication skills, with a record of publishing or presenting scientific research.
- Familiarity with Linux environments, experimental design, and research lab equipment setup/maintenance.
- Experience with deep learning frameworks (PyTorch, TensorFlow) for gesture or pose recognition.
- Knowledge of ergonomics, human anatomy, and motor control in applied computing contexts.
- Hands-on experience integrating ML models with physical prototypes.
- Ability to translate research requirements into clear instructions for moderators, participants, and engineering teams.
- Self-driven and adaptable, with strong problem-solving and experimental analysis skills.
- Medical and Prescription Drug Plans
- Dental Plan
- Vision Plan
- Health Savings Account
- Health Flexible Spending Account
- Dependent Care Flexible Spending Account
- Supplemental Life Insurance
- Short Term and Long Term Disability Insurance
- Business Travel Insurance
- 401(k), Plus Match
- Weekly Pay
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