A health technology company at the top of their industry is seeking a Machine Learning Engineer to join its research and development team. This full-time opportunity offers the chance to build advanced machine learning systems that power next-generation wearable and sensor-based health products. The team works heavily with Python, TensorFlow, PyTorch, Spark, signal processing, and large-scale physiological datasets to create meaningful consumer health insights.
This is a true zero-to-one engineering opportunity. Rather than maintaining existing models, this individual will help invent entirely new sensing capabilities, develop multimodal AI solutions, and influence the future roadmap of emerging health technologies. The organization values innovation, scientific rigor, and collaboration while providing significant ownership, rapid career growth, and the opportunity to see research move directly into production products used by customers worldwide.
Required Skills & Experience
Desired Skills & Experience
What You Will Be Doing
Tech Breakdown
Daily Responsibilities
The Offer
You will receive the following benefits:
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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Machine Learning Engineer / UNICORN / Hybrid in SF • San Francisco, California, United States
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