Machine Learning Engineering Manager North Reading, MA)

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Date: Oct 2, 2026

Location: North Reading, MA, US

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world!

We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive.

Teradyne is a global leader in automated test equipment and industrial automation. Our technologies support advanced semiconductor and electronics testing, helping manufacturers bring products to market faster and with greater confidence. As we deepen our AI capabilities, we’re looking for an engineering leader who combines strong technical judgment with the ability to grow a team.

As Technical Lead Manager, AI Engineering, you will be the technical authority for one of Teradyne’s AI Product tracks and manage the engineers who deliver it. This is a technical leadership role first: you will set architecture and modeling direction, lead design reviews, and stay close enough to the work to make difficult technical decisions yourself.

You will manage a team of approximately five to ten ML engineers, own a defined portion of the multi-year AI product roadmap, and move initiatives from evaluation through benefit realization. You will report to the Head of Machine Learning and partner closely with business unit stakeholders.

• Set modeling and architecture standards for your track, lead design reviews, and make final technical decisions for your team’s ML systems.
• Stay hands-on by prototyping to reduce risk, reviewing data, code, and models, and maintaining a high engineering bar.
• Lead initiatives through evaluation, feasibility, development, pilot, and benefit realization; own the associated FTE estimates and delivery commitments.
• Hire, coach, and develop ML engineers, including performance management and career growth.
• Translate business unit needs into tractable ML problems and explain model behavior in terms stakeholders can act on.
• Partner with peer Technical Lead Managers to maintain consistent standards across the AI Product organization.
• Own production quality, including monitoring, drift, retraining, and response to model issues in customer environments.
• Represent your track in roadmap, resourcing, and executive reviews, including annual FTE and headcount planning.

You are an experienced ML practitioner who has taken systems into production and remained accountable for their performance. You can set and defend technical direction with senior stakeholders, make sound trade-offs, and identify work that is unlikely to deliver value. You also enjoy helping engineers grow—whether you have managed a team formally or are a strong technical lead ready to take that step.

• 8+ years of experience in machine learning, applied AI, or a related field, including production ownership of ML systems.
• Experience leading engineers through mentoring, technical leadership, or management.
• Depth in at least one of the following: time-series and anomaly detection; computer vision for inspection; or applied LLM and agentic systems.
• Experience deploying and…