Role Overview
Teradyne is hiring a entry-level Machine Learning Engineer. This is a full-time role in North Reading. Part of Teradyne's Qa hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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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 $139,900-$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.
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. Please click here to see details.
Frequently Asked Questions
How do I apply for the Machine Learning Engineer position at Teradyne?
Use the Apply button above to submit your application directly to Teradyne. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Machine Learning Engineer position at Teradyne located?
This position is based in North Reading. Teradyne has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Machine Learning Engineer at Teradyne earn?
Teradyne has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Machine Learning Engineer role at Teradyne posted?
This role was posted on April 1, 2026 (68 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
Is the Machine Learning Engineer role at Teradyne entry-level?
Yes. This is an entry-level position. Strong candidates typically have 0-2 years of relevant work experience, internships, or significant project work. Read the full description for any specific qualification requirements Teradyne has listed.
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