Job Description
Staff AI/ML Engineer
Sunnyvale, CA (4 days/wk)
$200,000 - $225,000 Salary + Equity
We’re partnering with an early-stage tech company developing next-generation radar-based AI systems for human activity recognition and vital signs monitoring. They’re building products at the intersection of sensing, healthcare, and applied machine learning, and are looking for a hands-on AI/ML Engineer to help bring their models from concept to production.
Role Responsibilities:
- Design, train, and deploy ML models for radar signal interpretation and human activity/vital signs inference.
- Develop and maintain end-to-end ML pipelines — from data collection to validation and edge deployment.
- Apply signal processing techniques to extract robust features from radar data.
- Collaborate with hardware and embedded engineers to ensure seamless system integration.
- Optimize and deploy models on C++-based embedded platforms for efficient on-device inference.
Requirements:
- 6-8+ years in applied AI/ML engineering (ideally within a startup or small team).
- Strong experience with Python (PyTorch, TensorFlow, TensorFlow Lite, scikit-learn).
- Proficient in C++ — especially for edge or embedded ML deployment.
- Solid background in signal processing, ideally radar-based systems.
- Strong problem-solving mindset and ability to work autonomously.
- Experience in healthcare, human monitoring, or sensor fusion.
- Understanding of cloud-to-edge ML deployment.
- PhD preferred (especially with experimental design, FDA study setup, and model evaluation experience).
Think you're a great fit? Please email the following notes and an attatchment of your resume to MeredithMarkowitz@harnham.com
- Current Location / Commute to Sunnyvale
- Work Authorization Status (This client can not sponsor or transfer visas)
- Your Tech Stack
- Any projects with radar / digital signal processing / deploying models on the edge
- Earliest availability for a 15-20 min call