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# Software Machine Learning Engineer (Teradyne, North Reading, MA)

- **Company:** Universal Robotics Inc.
- **Location:** North Reading, MA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Software Engineering, Unstructured Data, Reinforcement Learning, Delivery Pipeline, Multi-Agent Systems, Information Technology, Machine Learning Operations, Software Version Control
- **Published:** August 10, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/software-machine-learning-engineer-teradyne-north-reading-ma-north-reading-ma-usa-58916661

## About the Role

product, and hardware teams to integrate ML into production systems * Define evaluation metrics and validation strategies for ML models * Translate engineering workflows into ML-driven solutions with internal stakeholders * Contribute to improving ML infrastructure, tooling, and best practices * Experience with AI orchestration or agent frameworks (e.g., LangChain, AutoGen) is a plus Tasks * 2+ years of experience in machine learning, applied AI, or related fields * Hands-on experience building and deploying ML models * Exposure to production ML systems (MLOps, monitoring, deployment) is desirable * Ability to work collaboratively across teams * Strong analytical and problem-solving skills * Basic understanding of software engineering practices and version control * Ability to work cross-functionally with product, software, and hardware teams * Strong communication skills; comfortable engaging directly with customers and stakeholders * Strong problem-solving and reasoning skills * aa
aaaaH_ or Ph.D. in Computer Science, Electrical Engineering, or related field (or equivalent industry experience) Key requirements * medical, dental, vision * Flexible Spending Accounts * retirement savings plans * life and disability insurance * paid vacation & holidays * tuition assistance programs

## Description

Experteer Overview In this role you will design, develop, and deploy applied AI systems that model complex engineering data. You will work with cross-functional teams to build scalable ML pipelines, focusing on graph ML, reinforcement learning, and interpretable AI. You will translate workflows into ML-driven solutions and contribute to robust ML infrastructure and best practices. This opportunity blends hands-on experimentation with collaboration to deliver explainable, production-ready AI. A key hook is applying advanced ML to optimize engineering decision-making at scale. Compensation / Benefits * Design and implement training, evaluation, and deployment pipelines for ML models * Apply graph ML methods to model relationships in structured and unstructured data * Experiment with reinforcement learning algorithms for optimization and decision-making tasks * Incorporate interpretability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems * Collaborate with software, product, and hardware teams to integrate ML into production systems * Define evaluation metrics and validation strategies for ML models * Translate engineering workflows into ML-driven solutions with internal stakeholders * Contribute to improving ML infrastructure, tooling, and best practices * Experience with AI orchestration or agent frameworks (e.g., LangChain, AutoGen) is a plus Tasks * 2+ years of experience in machine learning, applied AI, or related fields * Hands-on experience building and deploying ML models * Exposure to production ML systems (MLOps, monitoring, deployment) is desirable * Ability to work collaboratively across teams * Strong analytical and problem-solving skills * Basic understanding of software engineering practices and version control * Ability to work cross-functionally with product, software, and hardware teams * Strong communication skills; comfortable engaging directly with customers and stakeholders * Strong problem-solving and reasoning skills * Master's or Ph.D. in Computer Science, Electrical Engineering, or related field (or equivalent industry experience) Key requirements * medical, dental, vision * Flexible Spending Accounts * retirement savings plans * life and disability insurance * paid vacation & holidays * tuition assistance programs


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