Career Opportunities

Success Starts Here

As a leading global supplier of wafer fabrication equipment and services to the semiconductor industry, Lam Research develops innovative solutions that help our customers build smaller, faster, and more power-efficient devices.

This success is the result of our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation.

Join the Lam Research team, where you can write your own success story. Come help us solve our customers' toughest problems and be part of a company that plays a vital role in the future of electronics.

Lam Research - a company where successful people want to work.

Algorithm Data Science Intern

Date: Jun 13, 2018

Location: Tualatin, OR, US, 97062

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Role and Responsibilities

  1. Understand and contribute to statistical, machine learning, and first-principle modeling projects focusing on semiconductor process control
  2. Apply basic machine learning algorithms in calibration, prediction, and optimization
  3. Translate technical questions into actionable experimental designs.
  4. Apply data structures, evaluate data quality, perform appropriate data analyses using software such as Python and MATLAB.
  5. Follow recommendation of senior engineers to design and prototype algorithms on industrial data.
  6. Strong analytical skills, with demonstrated reputation including publications / development / deployment experience.
  7. Interface closely with Lam Business counterparts (marketing, engineering, …) to understand/define requirements, domain knowledge/models, data needs, and software specs
  8. Excellent teamwork and customer focus.
  9. Excellent written and verbal communication skills.

Qualifications and Education Requirements

M.S. or Ph.D. student in mathematics, statistics, physics, chemistry, computer science, electrical engineering, chemical engineering, or material science with hands-on experiences of hypothesis-driven data analysis, machine learning, and statistics.

Preferred Skills

Matlab and Python programming.

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