Opportunity OverviewAs 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 YouWe 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. Please click here to see details.
