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Machine Learning Engineer (San Francisco Bay Area)
Machine Learning Engineer (San Francisco Bay Area)Harnham • San Francisco Bay Area, US
Machine Learning Engineer (San Francisco Bay Area)

Machine Learning Engineer (San Francisco Bay Area)

Harnham • San Francisco Bay Area, US
7 days ago
Job type
  • Part-time
Job description

STAFF AI / ML ENGINEER HEALTHTECH

$200K$235K BASE + EQUITY

HYBRID SUNNYVALE, CA (MONTHU ONSITE, FRI WFH)

Are you passionate about applying AI to improve real-world health outcomes and quality of life for seniors?

THE COMPANY

This early-stage healthtech startup is on a mission to make healthcare more proactive and accessible through AI-driven technology. Theyre developing an intelligent in-home device designed to improve wellness monitoring and engagement for seniors. The company is growing quickly, with active pilots in the market and a consumer launch on the horizon.

THE ROLE

As the Staff / Principal ML Engineer, youll collaborate closely with senior leadership to design and deploy machine learning models for real-world applications. Youll play a key role in establishing the companys ML foundation, guiding technical strategy, and mentoring a small team of contributors and partners.

RESPONSIBILITIES

  • Developing and optimizing models for radar signal processing and real-time inference
  • Deploying models on the edge using C++ and TensorFlow Lite
  • Collaborating with firmware and software teams to integrate ML into hardware devices
  • Establishing best practices and guiding future team growth

YOUR SKILLS AND EXPERIENCE

  • Strong background in radar or digital signal processing (DSP)
  • Hands-on experience deploying ML models on edge devices (C++, TensorFlow Lite)
  • Proficiency with Python, PyTorch, TensorFlow
  • Experience in firmware or device-level integration
  • A startup mindset ownership mentality, curiosity, and hands-on problem-solving
  • If youre excited about building AI that improves lives and drives meaningful change in healthcare, this is your opportunity to make it happen.

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    Machine Learning San • San Francisco Bay Area, US

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