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

Teradyne; North Reading (MA); On-site; USD 117,000 - 186,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Flexible Spending Accounts

Retirement savings plan

Life and disability insurance

Paid vacation and holidays

Tuition assistance

Job summary

Teradyne seeks a Machine Learning Engineer to design, develop, and deploy applied AI solutions. You will work on graph ML, reinforcement learning, and interpretable AI, collaborating with cross-functional teams to integrate ML into production systems.

The role emphasizes hands-on development, experimentation, and collaboration rather than leadership, with a strong focus on scalable ML pipelines and production readiness.

Qualifications

• 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.
• Strong communication and cross-functional collaboration.
• Master’s or Ph.D. in CS/EE or related field (or equivalent industry experience).

Responsibilities

• Design and implement pipelines for training, evaluation, and deployment of ML models.
• Apply graph ML methods to model relationships in structured and unstructured data.
• Build and experiment with reinforcement learning algorithms for optimization and decision-making tasks.
• Incorporate interpretability and explainability techniques into ML systems.
• Collaborate with software, product, and hardware teams to integrate ML solutions into production systems.
• Assist in defining evaluation metrics and validation strategies for ML models.
• Work with internal stakeholders to understand engineering workflows and translate them into ML-driven solutions.
• Contribute to improving ML infrastructure, tooling, and best practices.
• Experience with AI orchestration or agent frameworks (e.g., LangChain, AutoGen, etc.) is a plus.

Skills

Machine Learning

Applied AI

Graph ML

Reinforcement Learning

Interpretability

MLOps

Cross-functional collaboration

Strong communication

Education

Master's or Ph.D. in Computer Science or Electrical Engineering (or related field)

Tools

LangChain

AutoGen

Job description

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world!

We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive.

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Opportunity Overview

As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and interpretable AI.

You will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership.

• Design and implement pipelines for training, evaluation, and deployment of ML models.
• Apply graph ML methods to model relationships in structured and unstructured data.
• Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks.
• Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems.
• Collaborate with software, product, and application engineering teams to integrate ML solutions into production systems.
• Assist in defining evaluation metrics and validation strategies for ML models.
• Work with internal stakeholders to understand engineering workflows and translate them into ML-driven solutions.
• Contribute to improving ML infrastructure, tooling, and best practices.
• Experience with AI orchestration or agent frameworks (e.g., LangChain, AutoGen, etc.) is a plus.

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.

• 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).

We are only considering candidates local to position location and are unable to provide relocation for this position.

Compensation

The base salary range for this role is $116,500-$186,400. 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.

Incentive Plan

This job is eligible for discretionary bonus(es) based on financial performance.

Benefits

Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more.