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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior ML Engineer (Teradyne, North Reading, MA) - **Company:** Teradyne Inc. - **Location:** North Reading, MA, United States - **Experience:** Expert - **Salary:** $158,600.0 - $253,700.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, Open Source Technology, Software Deployment, Software Engineering, Test Data, Workflow Management Systems, Reinforcement Learning, Feature Engineering, Data Ingestion, Large Language Models, Model Validation, Information Technology, ONNX (Open Neural Network Exchange) Format, Free and Open-Source Software, Machine Learning Operations, Virtual Agents - **Published:** May 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e0752c4be2f3666a ## About the Role Do you have experience in Software deployment?, Do you have a Master's degree?, * 5+ years of experience in machine learning, applied AI, or related fields. * Hands-on experience fine-tuning large language models. * Experience with reinforcement learning (e.g., policy gradients, PPO, actor-critic methods). * Experience designing reward models or evaluation systems. * Strong software engineering skills (Python, distributed systems familiarity). * Experience building production ML systems (MLOps, monitoring, deployment). * Ability to work cross-functionally with product, software, and hardware teams. * Strong communication skills; comfortable engaging directly with customers & stakeholders. * Computer vision skills in manufacturing inspection: defect detection, etc. * ML model deployment on edge devices is preferred, including quantization, ONNX, etc. * Open-source ML project contributions, publications, or technical patents is preferred. * Knowledge of AI agent frameworks (LangChain, AutoGen) or reasoning-driven workflow design (Chain-of-Thought, Chain-of-Action) is preferred. * Master's or Ph.D. in Computer Science, Electrical Engineering, Statistics, or a related quantitative field - or equivalent industry experience with a demonstrated record of technical innovation, including publications, open-source contributions, or patents. ## Description As Senior Machine Learning Engineer, you are Teradyne's highest individual contributor technical authority in ML. You own the end-to-end technical excellence of Teradyne's machine learning systems: from research and experimentation to production deployment and ongoing model performance. You will define modeling standards, set the engineering bar for the entire ML team, and take personal ownership of the most complex and highest-impact ML problems. Your work will span time-series analysis of semiconductor parametric test data, computer vision for defect detection, adaptive test optimization, and applied LLM systems. You will be the go-to technical voice when the team faces hard problems and the mentor of junior engineers around you. * Own the technical direction and quality of all ML model development across Teradyne's AI initiatives, setting and enforcing engineering standards across the team. * Lead end-to-end development of production ML systems: data ingestion and feature engineering, model architecture design, training pipelines, evaluation frameworks, and deployment. * Design and implement novel ML approaches tailored to Teradyne's unique data domain including time-series parametric test data (STDF/TEMS), wafer map analysis, etc. * Drive applied research and model innovation, explore and evaluate new architectures, algorithms, and training methodologies, and translate promising approaches into production systems. * Develop and maintain rigorous model evaluation frameworks, including validation methodologies, risk quantification, and production monitoring strategies. * Lead technical design reviews; serve as final arbiter of ML architecture and modeling decisions for the team. * Build and maintain production ML systems with a strong focus on reliability, scalability, and performance in Teradyne's ATE and manufacturing environments. * Partner directly with customers and application engineers to understand real-world debug workflows and translate them into ML solutions. * Mentor and develop junior ML engineers; cultivate a culture of technical rigor and continuous learning. All About You We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum criteria for the position. ## Related Videos - [Dirty Tests And How To Clean Them](https://www.wearedevelopers.com/videos/515-dirty-tests-and-how-to-clean-them) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [When React Meets Reality: Building a Real-Time Control Room for Autonomous Vehicles](https://www.wearedevelopers.com/videos/2091-when-react-meets-reality-building-a-real-time-control-room-for-autonomous-vehicles) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Stop Guessing, Start Measuring: Evaluating RAG Systems with Synthetic Test Data](https://www.wearedevelopers.com/videos/1982-stop-guessing-start-measuring-evaluating-rag-systems-with-synthetic-test-data) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)