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.

Data Scientist 5

Date: Mar 5, 2020

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About Lam….

 

Together we move the Atoms that move the World:

Imagine working on the front lines of innovation! As one of the semiconductor industry's leading suppliers of wafer fabrication equipment and services, our technology depends on finding and hiring the best and the brightest employees. We know that our dynamic, global team of exceptional employees is essential to our continued growth.

 

Lam Research - where successful people want to work:

We are a company comprised of people who work hard, deliver outstanding results and maintain a sense of humor during even the most challenging times. This is truly a rare opportunity. Lam Research is a market leader where our core values are not just words on the back of your badge. Given the criticality of this role to Lam Research's success, this philosophy starts with you.

Job Responsibilities

Role and Responsibilities

  • Undertake concept-and-feasibility projects related to semiconductor process control using statistical, machine learning, and first-principle modeling methods.
  • Determine and apply simple analytical (e.g. linear regression, functional parameterization, etc.) as well as advanced machine learning methodologies (e.g. Neural network, Bayesian methods, etc.) in calibration, prediction, validation, and optimization
  • Translate technical questions into actionable experimental designs to test hypotheses.
  • Define data structures, evaluate data quality, perform appropriate data analyses using software such as Python and MATLAB.
  • Experience with designing and prototyping algorithms on industrial data.
  • Strong analytical skills, with demonstrated reputation including publications / development / deployment experience.
  • Interface closely with Lam internal and external engineering team to understand/define requirements, domain knowledge/models, data needs, and software specs
  • Excellent teamwork and customer focus.
  • Excellent written and verbal communication skills.
  • Ability to take R&D initiative and deliver tangible results under deadlines.
  • Ability to work independently and inquisitively with minimal direction.
  • Flexibility of working across all functions/levels as part of a team.
  • Flexibility of travelling and working at customer sites in USA or abroad.

 

Minimum Qualification

Qualifications and Education Requirements

  • B.S. with 8 years, M.S. with 5 years, or Ph.D. with 3 years of data analytics experiences related to semiconductor wafer processing or metrology. 
  • Degree obtained in STEM with at least two years of experiences of hands-on hypothesis-driven data analysis and machine learning, statistics, or simulation related experiences. 
  • Familiar with ML training/testing methodology and DOE design. 
  • Program in Python using scikit learn, pandas, and tensorflow / Pytorch.
Preferred Qualification

 

Preferred Skills

  • Hands-on optical simulation experiences. 
  • Advanced convolutional and recurrent neural network. 
  • Machine learning with sensor data.
More About Us ….

 

Our work is everywhere you look – even if you can’t actually see it. Lam Research goes deeper than software or chips to the heart of the process that enables chip creation. So if you want to help power the components that empower everything, join us.

 

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

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