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

About the role

We are seeking a Senior Machine Learning Engineer to lead the development and deployment of advanced machine learning systems within Teradyne. This role requires a deep understanding of machine learning principles and hands-on experience in applying these principles to solve complex problems in semiconductor testing and manufacturing.

Responsibilities

• 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.

Requirements

• 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.

Qualifications

• PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.
• Relevant industry certifications or professional licenses.

Skills

• Python programming.
• Distributed systems.
• Time-series analysis.
• Computer vision.
• Model deployment on edge devices.
• Quantization, ONNX.
• AI agent frameworks (LangChain, AutoGen).
• Reasoning-driven workflow design (Chain-of-Thought, Chain-of-Action).

Benefits

• Medical, dental, vision coverage.
• Flexible Spending Accounts.
• Retail savings plans.
• Life and disability insurance.
• Paid vacation & holidays.
• Tuition assistance programs.

Pay

The base salary range for this role is $133,900-$223,900. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range can also fluctuate depending on demand and location.

Schedule

Full-time.