Software Machine Learning Engineer
Location: North Reading, MA, US
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 crossโfunctional teams to build scalable ML systems that model complex relationships in engineering data, optimize decisionโmaking processes, and provide transparent, explainable insights. This role emphasizes handsโon development, experimentation, and collaboration rather than technical leadership.
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, Qโlearning) for optimization and decisionโmaking tasks.
- Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attentionโbased 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 MLโdriven 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
- 2+ years of experience in machine learning, applied AI, or related fields.
- Handsโon 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 problemโsolving skills.
- Basic understanding of software engineering practices and version control.
- Ability to work crossโfunctionally with product, software, and hardware teams.
- Strong communication skills; comfortable engaging directly with customers and stakeholders.
- Strong problemโsolving and reasoning skills
- Masterโs 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 wellโbeing 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 clickhere to see details.
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