Machine Learning Engineer

Teradyne • North Reading, MA

10d

About The Position

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.

Requirements

• 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).

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 (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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees