Loading...

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.


Principal Data Scientist Industry 4.0

Date:  Oct 13, 2021
Location: 

Remote, Remote, US

Req ID:  163195

Overview

At Lam, we relentlessly pursue innovation that pushes the boundaries of technical limitations, creating solutions that enable chipmakers to power progress. Are you excited by the idea of creating AI that works at sub-atomic scale to transform the world around us? As a Principal Data Scientist you will play a pioneering role in advancing Industrial Autonomous Control and Decision Intelligence in Lam’s products and processes, empower our teams and accelerate innovation.

  

What you will do

  • Work with subject matter experts, machine learning engineers and researchers to develop state of the art ML and Deep learning models in the areas of Computer Vision (Object Detection and localization), time-series and process optimization.  
  • Apply and perform research in emerging areas of efficient neural network development including quantization, pruning, compression and neural architecture search.  
  • Partner with business stakeholders, SME's to formulate novel data science problems with high ROI to drive industrial autonomous control and process automation 
  • Work with state-of-the-art cloud platforms to build feature stores, use latest practices in MLOps and ML DLC tools like MLFlow etc. to speed up experimentation and model serving and build ML pipelines. 

 

Qualifications

  • Strong in presenting data and analysis in a visually intuitive way to a broad set of stakeholders (technical and non-technical), experience with viz tools based on Python(Voila, Dash etc.) or dashboarding tools like(Tableau/PBI) 
  • Highly skilled at data preparation/feature engineering to make it ML-Ready(in Py/Pandas or SQL/Spark 
  • Demonstrated breadth of understanding applicability of various ML/DL methods to various domains (e.g. time-series, vision etc.) 
  • Solid understanding of various ML and DL frameworks and application areas 

Preferred Qualifications

  • Feature pipelines and/or model development experience in Vision, data augmentation/automated labeling or time-series or reinforcement learning (OpenAI gym, PyTorch, Tensorflow, Keras, scikit learn etc.), simulation/model predictive control 
  • Strong programming experience in python with demonstrated experience in package development (or open-source projects, hackathons etc.), API development 
  • Strong in data/feature engineering with Pandas/PySpark etc. 
  • Publication record in ML conferences 
  • Familiarity with full-stack software or data science development 
  • Familiarity with Docker, Kubernetes etc 

Our Commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

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.

We Look Forward to Your Application

IND123

#LI-GS1


Job Segment: Scientific, Database, Engineer, Information Systems, Engineering, Technology, Research