Data Scientist

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible. Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy.

We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration. The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value.

We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities. Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Date:
Sep 30, 2026

Location:

Tualatin, OR, US, 97062

Worker Category:
On-site Flex

The Office of the CTO is where innovation takes center stage at Lam Research. We inspire our global technical community to take on grand challenges, explore emerging trends, identify critical technology inflections, and develop cutting-edge computational solutions that define the next generation of semiconductors.

Within Semiverse® Solutions at Lam Research, we build software products and virtual twins that revolutionize semiconductor fabrication. Our solutions combine physical simulations—such as multi-physics plasma modeling and 3D feature scale modeling—with modern machine learning to solve critical engineering challenges.

We are looking for a senior Data Scientist to join our team at the intersection of computational physics and machine learning. In this role, you will own the development of surrogate models, virtual twins, and optimization workflows end-to-end: from designing numerical experiments and generating synthetic data to deploying clean, maintainable Python code into our commercial software.

• Build and scale physics-aware machine learning models and surrogate models to accelerate complex multi-physics and process simulations.
• Apply core data science, statistical analysis, and machine learning methods across both simulated and experimental datasets.
• Implement optimization algorithms, such as Bayesian optimization and active learning, to accelerate process design and calibration.
• Run simulations to generate training data and design effective sampling strategies for model development.
• Write robust, production-quality Python code following modern software engineering practices.
• Collaborate closely with computational physicists, semiconductor process engineers, and software developers to turn complex physics problems into practical ML solutions.

• Education & Experience: Master’s degree with 6+ years of relevant experience, or Ph.D. with 3+ years in Physics, Engineering, Applied Mathematics, Computer Science, or a related quantitative field.
• Hands-on Data Science & ML: Demonstrated ability to build, train, evaluate, and tune machine learning models end-to-end on real-world datasets, backed by solid foundations in statistics and core ML algorithms.
• Scientific Machine Learning: Experience building surrogate models, physics-aware ML architectures, or optimization algorithms (e.g., Bayesian optimization, Gaussian…