Senior Machine Learning Engineer Ai​/Machine Learning​/Boston

Job Description

A full-service product development consultancy specializing in medical devices, robotic systems, and automation is hiring a Senior Machine Learning Engineer. In this position, you’ll be responsible for owning the entire ML lifecycle, transforming raw sensor data into reliable models that run on constrained hardware. You will collaborate closely with embedded, hardware, and software teams to design and implement data pipelines, as well as optimize and deploy models for signal processing and anomaly detection on real-world devices.

• 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.

• 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.

• 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.

Nick Ramler