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Senior Software Machine Learning Engineer

Teradyne

North Reading, MAJob$141–242K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$141–242K/yr
Location
North Reading, MA
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

Teradyne seeks a senior machine learning engineer to serve as its highest individual-contributor technical authority in ML. The role owns technical direction and end-to-end production systems, spanning semiconductor test-data analysis, computer vision, adaptive test optimization, and applied LLMs. The engineer will lead research and architecture decisions, partner with customers and application engineers, and mentor junior engineers. Edge deployment, open-source contributions, publications, patents, and agent-framework knowledge are preferred.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning, requiredApplied AI, requiredLLM Fine-Tuning, requiredReinforcement Learning, requiredReward Modeling, requiredEvaluation Systems, requiredPython, requiredDistributed Systems, requiredProduction ML Systems, requiredMLOps, requiredModel Monitoring, requiredModel Deployment, requiredCross-Functional Collaboration, requiredCommunication, requiredCustomer Engagement, requiredComputer Vision, requiredManufacturing Inspection, requiredDefect Detection, requiredEdge Deployment, nice to haveModel Quantization, nice to haveONNX, nice to haveOpen-Source ML Contributions, nice to haveTechnical Publications, nice to haveTechnical Patents, nice to haveLangChain, nice to haveAutoGen, nice to haveReasoning-Driven Workflow Design, nice to haveChain of Thought, nice to haveChain of Action, nice to have

Qualifications

5+ Years Machine Learning Experience, required

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Tuition Assistance

Full job description

Our Purpose

Join Teradyne, a global leader in automated test equipment (ATE) and industrial automation. Our technologies power the most advanced semiconductor and electronics testing in the world, enabling manufacturers to bring products to market faster and with greater confidence. As we deepen our AI capabilities, we are looking for exceptional engineers who combine rigorous technical foundations with the drive to take ideas all the way to production.

Opportunity Overview

As Senior Machine Learning Engineer, you are Teradyne's highest individual contributor technical authority in ML. You own the end-to-end technical excellence of Teradyne's machine learning systems: from research and experimentation to production deployment and ongoing model performance.

You will define modeling standards, set the engineering bar for the entire ML team, and take personal ownership of the most complex and highest-impact ML problems. Your work will span time-series analysis of semiconductor parametric test data, computer vision for defect detection, adaptive test optimization, and applied LLM systems. You will be the go-to technical voice when the team faces hard problems and the mentor of junior engineers around you.

  • Own the technical direction and quality of all ML model development across Teradyne's AI initiatives, setting and enforcing engineering standards across the team.

  • Lead end-to-end development of production ML systems: data ingestion and feature engineering, model architecture design, training pipelines, evaluation frameworks, and deployment.

  • Design and implement novel ML approaches tailored to Teradyne's unique data domain including time-series parametric test data (STDF/TEMS), wafer map analysis, etc.

  • Drive applied research and model innovation, explore and evaluate new architectures, algorithms, and training methodologies, and translate promising approaches into production systems.

  • Develop and maintain rigorous model evaluation frameworks, including validation methodologies, risk quantification, and production monitoring strategies.

  • Lead technical design reviews; serve as final arbiter of ML architecture and modeling decisions for the team.

  • Build and maintain production ML systems with a strong focus on reliability, scalability, and performance in Teradyne's ATE and manufacturing environments.

  • Partner directly with customers and application engineers to understand real-world debug workflows and translate them into ML solutions.

  • Mentor and develop junior ML engineers; cultivate a culture of technical rigor and continuous learning.

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.

  • 5+ years of experience in machine learning, applied AI, or related fields.

  • Hands-on experience fine-tuning large language models.

  • Experience with reinforcement learning (e.g., policy gradients, PPO, actor-critic methods).

  • Experience designing reward models or evaluation systems.

  • Strong software engineering skills (Python, distributed systems familiarity).

  • Experience building production ML systems (MLOps, monitoring, deployment).

  • Ability to work cross-functionally with product, software, and hardware teams.

  • Strong communication skills; comfortable engaging directly with customers & stakeholders.

  • Computer vision skills in manufacturing inspection: defect detection, etc.

  • ML model deployment on edge devices is preferred, including quantization, ONNX, etc.

  • Open-source ML project contributions, publications, or technical patents is preferred.

  • Knowledge of AI agent frameworks (LangChain, AutoGen) or reasoning-driven workflow design (Chain-of-Thought, Chain-of-Action) is preferred.

Compensation: The base salary range for this role is $141,300-$242,000. 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 (https://www.teradyne.com/2026-benefit-information-for-us-employees/) to see details.

Current openings may involve access to export controlled technology and may be subject to export licensing requirements prior to employment. ATTENTION APPLICANTS WITH DISABILITIES: If you’re unable to access our on-line application due to a disability you may visit one of our locations or our Corporate Office at 600 Riverpark Drive, North Reading, MA and request a paper application form. In addition, you may also contact the HR Service Center at 978-370-3041 or contact them at [email protected] for additional assistance. LitePoint, a Teradyne Company is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, age, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.

How this job compares

Set against the 6,492 open Machine Learning Engineer jobs on Olive Jobs, counted November 14, 2026.

Pay
  • This posting$141–242K/yr
  • Massachusetts median$157–227K/yr157 salary ranges
  • US median$144–245K/yr5,517 salary ranges

This range's midpoint, $192K, is 4% below the Massachusetts median midpoint ($200K) — in the middle half of Machine Learning Engineer salary ranges in Massachusetts.

Openings
Olive Jobs lists 186 open Machine Learning Engineer jobs in Massachusetts and 6,492 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in Massachusetts
Experience
This posting asks for at least 5 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (5,381 postings).
Education
2,262 of the 6,492 open Machine Learning Engineer jobs (35%) ask for a bachelor's degree or higher.

Pay, requirements and demand for Software Engineer jobs

Counted across the open, public US postings on Olive Jobs on November 14, 2026. Figures based on too few postings are left out.

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