- 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
- 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
- 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
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