Senior ML/Edge Engineer (Signals) - Health Care - Remote

Overview

We’re looking for a Senior ML/Edge Engineer to lead the development of ML models that power our physiological signal analysis. This role is ideal for someone who thrives at the intersection of machine learning, signal processing, and embedded systems — taking models from research to real-world deployment on constrained edge devices.

In Short

• Own the full ML lifecycle: data collection, cleaning, model training, evaluation, deployment.
• Develop and optimize models for signal processing and time-series biosignals.
• Refactor Python-based models into C/C++ for edge deployment.
• Address resource constraints: memory, threading, concurrency, power.
• Work closely with firmware/software teams to integrate models on-device.
• Ensure production success: deploy, monitor drift, iterate post-launch.
• Flexibility in profile fit: strong modelers with some C++, or strong C++ engineers with workable ML chops.

Requirements

• 5+ years applied ML experience with embedded/edge deployment.
• Strong background in signal processing and time-series data.
• Proven ability to ship AI products into production, including drift monitoring.
• Proficiency in Python (modeling) and C/C++ (embedded deployment).
• Knowledge of resource-constrained systems.
• Excellent problem-solving and communication skills; thrive in a fast-moving startup.

Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.