Research Scientist Manager - ML Modeling & Applied Research
Burlingame, CA | New York, NY
USD 177K-251K (estimate) Mid-level Full Time
Tasks
- Apply quantitative research methods
- Build end-to-end machine learning pipelines
- Build machine learning models
- Collaborate with engineering and HCI teams
- Deploy models into technology and user experiences
- Detect events in signals
- Develop research-grade code for prototypes
- Develop sequence to sequence models
- Develop signal processing models
- Evaluate machine learning models
- Infer user intent from neuromotor signals
- Integrate software for production
- Iterate research agenda
- Lead project execution and research outcomes
- Manage researchers and engineers
- Perform time series regression
- Preprocess datasets
- Separate signals
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Cluster computing | Data Preprocessing | Deep learning | Dimensional data | EMG | Event Detection | High Dimensional Data | Jupyter | Large scale cluster computing | Large-scale | Machine Learning | Machine Learning Pipelines | Matplotlib | Model Evaluation | Multi-Modal | Multi-Modal Learning | Pandas | PyTorch | Python | Real Time | Real-time signal processing | Regression | Research prototyping | SciPy | Scikit-learn | Sequence Models | Sequence to sequence | Sequence to sequence models | Series analysis | Signal Processing | Signal Separation | Software integration | TensorFlow | Time Series | Time Series Analysis
Education
Regions
Countries
States
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