R&D Data Engineering & Machine Learning Spring 2026 Co-op (Teradyne, Agoura Hills, CA)
About The Position
Teradyne is a global leader in test and automation, driving innovation in next-generation technologies. Our commitment to research and development enables us to deliver advanced solutions that shape the future of manufacturing automation. Teradyne's Cooperative Education and Internship program is designed to immerse students in real-world R&D projects. As a co-op, you will contribute to exploratory initiatives and cutting-edge research in data engineering and machine learning, directly impacting our technology roadmap and process innovation. Teradyne is actively exploring new frontiers in data engineering and machine learning to enhance manufacturing test processes, drive automation, and unlock actionable insights from production data. We seek curious, creative minds to join our R&D efforts, experiment with emerging technologies, and help prototype solutions that could transform our operations.
Requirements
- Second semester Sophomore year in Computer Science, Data Science, Electrical Engineering, or a related field.
- Strong foundation in data structures, databases (SQL/NoSQL), and programming (Python, R, Java, or Scala).
- Exposure to machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and basic ML concepts.
- Demonstrated interest in research, experimentation, and technology exploration.
- Analytical mindset and creative problem-solving skills.
- Ability to communicate technical concepts clearly and collaborate in multidisciplinary teams.
- Proficiency in Microsoft Office (Excel, PowerPoint, Word, PowerBI) for reporting and presentation.
- Position will be Hybrid in Agoura Hills, Ca (no relocation or housing assistance provided).
- Available for a 6-month co-op.
- We are only considering candidates local to position location and are unable to provide relocation for this position.
- This position is not eligible for visa sponsorship.
Responsibilities
- Participate in exploratory research projects focused on data-driven process optimization and automation.
- Investigate and prototype new data engineering solutions for collecting, cleaning, and integrating diverse manufacturing datasets.
- Experiment with machine learning models to predict outcomes, detect anomalies, and optimize test processes.
- Collaborate with senior engineers and R&D teams to evaluate the feasibility and impact of new technologies.
- Document findings, methodologies, and results to support knowledge sharing and future development.
- Present research outcomes and recommendations to technical teams and stakeholders.
- Stay current with advancements in data engineering, machine learning, and manufacturing analytics.
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What This Job Offers
Career Level
Intern
Industry
Computer and Electronic Product Manufacturing
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
