Senior Machine Learning Engineer

We’re building something meaningful — not just another dashboard or data toy. This role is for someone who enjoys working with real human behavior data, where every model you ship has the power to improve how people move, live, and take care of themselves.

If you love solving puzzles inside messy, real-world datasets, you’ll feel at home here.

What You’ll Work On

• Build, train, and refine machine learning and deep learning models using time-series, sensor, and behavioral data.
• Integrate data from wearables, fitness tracking platforms, and device APIs to create a clear story from movement, patterns, and activity signals.
• Develop and maintain data pipelines that support both batch and real-time analytics.
• Own model deployment in production environments — your models won’t live in notebooks; they’ll live in the world.
• Work closely with engineering teams to integrate ML models into mobile and web apps.
• Support logic for fraud, spoofing, and anomaly detection, ensuring data reflects real human activity.
• Make complex outputs easy to understand — not just for engineers, but for product and business users too.

Requirements