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python pytorch feature engineering time-series analysis brain-computer interface📋 Description
- Design and assess model architectures to decode speech from brain activity
- Explore state-of-the-art speech features in neural-decoding pipelines
- Develop pipelines for synthesizing naturalistic speech from text and brain activity
- Build algorithms to analyze speech signals and detect disease biomarkers
- Collaborate in a small team to translate findings into product implementations
- Contribute to reliability, observability, reproducibility in R&D
- Maintain versioned, well-documented code and analysis pipelines
🎯 Requirements
- Bachelor's or Master's in Math, Engineering, or Neuroscience
- Minimum 2 years of research experience with speech datasets
- Experience with speech signal feature engineering
- Proficiency in Python and PyTorch
- Excellent communication and collaboration skills
- Experience owning at least one successful collaborative project
- Preferred: PhD in Math, Engineering, or Neuroscience
- Preferred: Experience developing speech synthesizers
- Preferred: Experience with neural signals for brain-computer interface applications
🎁 Benefits
- Work on cutting-edge projects transforming patients' lives in a collaborative environment
- Competitive compensation including stock options
- Comprehensive benefits package
- 401(k) with matching contributions
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