AI ML Engineer

We’re building meaningful products that improve human behavior, working with real-world datasets, and solving complex puzzles.

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.