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

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

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