Senior Machine Learning Engineer Ai/Machine Learning/Boston

Daily Responsibilities

• Develop and troubleshoot workflows for collecting, cleaning, and organizing sensor data.
• Build and refine ML models for real-time device applications and performance improvements.
• Work closely with firmware teams to embed and test AI features on hardware platforms.
• Set up and oversee tools for tracking experiments, automating evaluations and managing deployments.
• Analyze model behavior, ensure reliability and resolve issues to maintain high-quality outputs.

Requirements

• Strong proficiency in Python
• Hands-on experience in PyTorch or TensorFlow
• Experience deploying models to edge using TFLite, ONNX, CoreML, TensorRT, or equivalent
• Experience building sensor data pipelines
• Proficiency with MLOps
• Solid Software engineering fundamentals
• Proficiency in C or C++

Desired Skills & Experience

• 5 years of machine learning engineering or applied ML experience
• Experience with physiological signal processing for medical or wearable applications
• Background in robotics, or autonomous systems
• Experience in a startup or small team
• Degree in a relevant field

Pay

Bonus OR Commission eligible

Benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) {including match – if applicable}