We’re building something meaningful using real human behavior data to improve how people move, live, and take care of themselves. Build, train, and refine machine learning and deep learning models using time-series, sensor, and behavioral data.
Requirements
- 5+ years of hands-on experience as an ML Engineer or Applied Scientist
- Strong foundation in machine learning, deep learning, and time-series analysis
- Experience working with wearables, IoT data, or sensor-based datasets
- Fluency in Python, PyTorch or TensorFlow, and good software engineering habits
- Experience building and shipping production ML systems using modern MLOps practices
- Comfort with Node.js, APIs, and backend integration workflows
- Understanding of data privacy, cloud ML infrastructure (AWS, GCP, or Azure), and edge inference
- A solid grasp of feature engineering, statistical reasoning, and evaluating what “good” looks like in a model