Boston, MAHybridFull Time$140k - $165kJob 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.
As a core team member, you’ll also help build out MLOps infrastructure, participate in sensor selection and integration, and ensure seamless validation and delivery of AI features within device software. You’ll document model development to support both internal quality processes and regulatory submissions, ensuring your solutions are robust, maintainable, and production ready.Required Skills & ExperienceStrong 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 & Experience5 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
What You Will Be DoingDaily Responsibilities100% 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
The OfferBonus OR Commission eligible
You will receive the following benefitsMedical 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.
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.
As a core team member, you’ll also help build out MLOps infrastructure, participate in sensor selection and integration, and ensure seamless validation and delivery of AI features within device software. You’ll document model development to support both internal quality processes and regulatory submissions, ensuring your solutions are robust, maintainable, and production ready.Required Skills & ExperienceStrong 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 & Experience5 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
What You Will Be DoingDaily Responsibilities100% 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
The OfferBonus OR Commission eligible
You will receive the following benefitsMedical 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.
Senior Machine Learning Engineer Ai/Machine Learning/Boston in boston at Unknown Company
This position is listed as full time and hybrid.