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.

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. Our success results from our employees' diverse technical and business expertise, which fuels close collaboration and ongoing innovation. We know that our dynamic, global team of exceptional employees is essential to our continued growth.

Join the Lam Research team, where you can play a vital role in the future of electronics and write your own success story.

Data Scientist 2

Date: Nov 24, 2020

Location: Singapore, SG, 554911

Req ID: 140681

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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

A technical expert who will be working with multi-dimensional datasets from various time-series sensors to develop generative and discriminative models. The candidate is expected to be well versed in mathematics with a thorough understanding in statistics, linear algebra, and calculus in order to have a deep mathematical understanding of novel ways to improve existing models. You will be tasked with reading new scientific papers, giving technical reports on the mathematical theory in the paper, as well as own possible testing and incorporating the algorithm into an existing model.  

Other Job Responsibilities

Other responsibilities include deploying deep learning methods with traditional computer vision to build robust image detection and feature recognition models or designing advanced deep learning algorithms for process control and writing robust and maintainable code that is well documentated with version control in Python. You will also be creating Python applications that parse and format large data sets for analysis, developing or specifying DB pipelines for image storage and data retrievability, and supply models to process engineers for increased speed to solutions.

Minimum Qualification
  • Masters or PhD in Data Science, Computer Science, Electrical Engineering, Physics, Materials Science, Mathematics, Statistics or related field.
  • At least 1-2 years of experience with applied computer vision and machine learning algorithms or 1-2 years of experience creating code for formatting large data sets in Python / C/C++ for a Masters Candidate or extensive thesis work in these areas
  • Solid mathematics background (linear algebra, probability, optimization).
  • Knowledge in deep learning architectures for computer vision, and associated libraries and frameworks (Spark, Keras, Tensorflow, OpenCV, Skimage, etc.).
  • Experience with and implementing CNN’s, feature detection, and classification.
  • Experience with solr, and SQL or HDFS/HBase is a plus.
  • Minimum three years of working experience within the semiconductor or related field is preferred
  • Previous work analyzing multi-dimensional data, including segmentation, reconstruction, classification, or manipulation is a big plus
  • Strong communication skills.
Preferred Qualification
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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