Machine Learning Engineer

As a Machine Learning Engineer, you will work on the whole path from raw sensor data to something a woman can act on, building models that turn biosignals into insights and an AI agent that helps each member understand them.

What You Will Do

You will own and improve existing biosignal models, find and fix where they fail on real-world wearable data, validate models on study data, and build new models where the product needs them.

Why It Might Be a Fit

You want to work in person with a small team in Menlo Park, and you have 2 to 5 years building ML systems that ran in production or on real users' data, with strong Python and modern deep learning framework skills.

Requirements

• 2 to 5 years building ML systems that ran in production or on real users' data
• Strong Python, a modern deep learning framework, and the scientific Python stack
• Experience with time-series or physiological data, such as PPG, ECG, IMU or EEG, or with LLM applications
• Careful about evaluation, splitting by subject, looking for leakage, checking calibration and testing against simple baselines

Benefits

• Competitive salary
• Meaningful early equity
• Health, dental and vision insurance
• 401(k)
• Paid time off and company holidays
• Catered team lunches
• A Clair device once it ships