ML Engineer – Health Wearables & Sensing (Zero-to-One)

Motion Recruitment Partners, LLC

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Competitive Salary
Equity Program
Medical, Dental, and Vision Insurance
Generous PTO
Paid Holidays
Career Development Opportunities

Job summary

Motion Recruitment Partners, LLC is seeking a Machine Learning Engineer to join its R&D team. This full-time role focuses on building advanced ML systems powering next-generation wearable and sensor-based health products.

The ideal candidate will work with Python, TensorFlow, PyTorch, Spark, signal processing, and large-scale physiological datasets to derive meaningful consumer health insights. The position offers a true zero-to-one engineering opportunity to invent new sensing capabilities,

Qualifications

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

Skills

Python
TensorFlow
PyTorch
Time-series data
Model deployment
Signal processing
Statistics
Bachelor's degree

Education

Bachelor's degree in Computer Science/Engineering/Data Science

Job description

Motion Recruitment Partners, LLC is seeking a Machine Learning Engineer to join its R&D team. This full-time role focuses on building advanced ML systems powering next-generation wearable and sensor-based health products.

The ideal candidate will work with Python, TensorFlow, PyTorch, Spark, signal processing, and large-scale physiological datasets to derive meaningful consumer health insights. The position offers a true zero-to-one engineering opportunity to invent new sensing capabilities,

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