Applied AI Engineer: Graph ML & RL

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

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.