Machine Learning EngineerHarnham • San Jose, CA, US
[error_messages.no_longer_accepting]
Machine Learning Engineer
Harnham • San Jose, CA, US
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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
Job Description
STAFF AI / ML ENGINEER – HEALTHTECH
$200K–$235K BASE + EQUITY
HYBRID – SUNNYVALE, CA (MON–THU 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. They’re 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, you’ll collaborate closely with senior leadership to design and deploy machine learning models for real-world applications. You’ll play a key role in establishing the company’s 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
If you’re 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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