AI ML Engineer who enjoys working with real human behavior data and has experience building and shipping production ML systems.
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
Benefits
- 401k Matching
- Retirement Plan
- Generous Paid Time Off
- Four Day Work Week
- Visa Sponsorship
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance