ML Engineer: Health Tech Wearables & Sensing Innovation

Motion Recruitment; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

Generous PTO

Equity Participation

Career Development Opportunities

Paid Holidays

Job summary

Motion Recruitment seeks a Machine Learning Engineer to join a health technology company’s R&D team. You will build advanced ML systems powering wearable health products, handling Python, TensorFlow/PyTorch, Spark, and large physiological datasets to extract meaningful consumer health insights.

This is a zero-to-one opportunity to invent new sensing capabilities, develop multimodal AI solutions, and influence future health tech roadmaps with ownership, rapid growth, and production-ready research.

Qualifications

• 3+ years of ML engineering experience.
• Strong Python development experience.
• Experience with TensorFlow and/or PyTorch.
• Background with sensor, wearable, physiological, or time-series data.
• Experience developing and deploying ML models.
• Understanding of signal processing techniques.
• Strong mathematical and statistical foundations.
• Bachelor's degree in CS/Engineering/Math/Data Science or similar.

Responsibilities

• Develop and deploy ML models for wearables and health sensors.
• Invent and prototype multimodal sensing capabilities.
• Collaborate with R&D to influence product roadmap.
• Work with large-scale physiological datasets to derive insights.

Skills

Python

TensorFlow

PyTorch

Sensor data

Time-series data

ML model deployment

Signal processing

Mathematics & stats

Education

Bachelor's degree (CS/Engineering/Math/Data Science)

Job description

Motion Recruitment seeks a Machine Learning Engineer to join a health technology company’s R&D team. You will build advanced ML systems powering wearable health products, handling Python, TensorFlow/PyTorch, Spark, and large physiological datasets to extract meaningful consumer health insights.

This is a zero-to-one opportunity to invent new sensing capabilities, develop multimodal AI solutions, and influence future health tech roadmaps with ownership, rapid growth, and production-ready research.