We're building a meaningful AI project that involves working with real human behavior data to improve people's lives. You'll be building, training, and refining 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