Staff AI/ML Engineer

Staff AI/ML Engineer

Sunnyvale, CA (4 days/wk)

$200,000 - $250,000 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

1. Current Location / Commute to Sunnyvale
2. Work Authorization Status (This client can not sponsor or transfer visas)
3. Your Tech Stack
4. Any projects with radar / digital signal processing / deploying models on the edge
5. Earliest availability for a 15-20 min call