Senior Machine Learning Engineer ml​/python​/Wilmington ma

Job Description

A full-service product development consultancy specializing in medical devices, robotic systems and automation is hiring a Senior Machine Learning Engineer. As a Machine Learning Engineer you will be expected to own the full ML lifecycle, from raw sensor data to a model running on constrained hardware.

In this role you will design and utilize data pipelines for sensor data. Your responsibilities include training, optimizing, and deploying machine learning models for signal processing and anomaly detection on edge devices, collaborating with embedded engineers to integrate and validate inference within device software. Additionally, you will build MLOps infrastructure, participate in sensor selection and validation, and document model development to support both regulatory submissions and internal quality processes.

• Strong proficiency in Python
• Hands on experience in PyTorch or Tensor Flow
• 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++

• 5 years of machine learning engineering or applied ML
• 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

• 100% Hands On
• 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

• Bonus OR Commission eligible

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

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.