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Job Title: JR0196797 - Graph Learning Research Scientist (Remote)
Company Name: Intel
Location: San Diego, CA
Position Type: Full Time
Post Date: 05/16/2022
Expire Date: 07/15/2022
Job Categories: Computers, Software, Government and Policy, Healthcare, Practitioner and Technician, Information Technology, Internet/E-Commerce, Military, Science, Quality Control, Research & Development, Medical, Web Technology
Job Description
JR0196797 - Graph Learning Research Scientist (Remote)

Join a world-class research team at Intel Labs working at the intersection of machine learning and large graphs. Join our researchers in building large scale applications like recommendation systems and performing cutting-edge research in large graph distributed training. At Intel Labs we place a high value on innovation - with a focus on peer reviewed publications, open source software and patents.

What you will be working on:

  • Cutting edge problems in multimodal learning on graph structured data.
  • Accelerating massively parallel training and execution for graphs with 100M+ nodes and 1B+ edges
  • Inventing novel graph neural network models that can scale both in model depth and graph size.
  • Developing open source software libraries to enable training big graph neural network models

The ideal candidate should possess good problem solving skills and the ability to work in a dynamic and multi-functional team.


You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience could be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.

Minimum Qualifications:

  • The candidate must possess a Master's degree or PhD degree in Computer Science, Electrical Engineering or related fields
  • Demonstrable experience designing and training deep learning models and other machine learning techniques
  • Original contributions to the field of machine learning in the form of peer-reviewed publications at top-tier conferences or journals
  • Demonstrable experience with DL, ML frameworks like PyTorch and Tensorflow
  • Demonstrable experience with graph ML frameworks like PyTorch-Geometric and DGL


Preferred Qualifications:

  • Experience with large scale distributed computing and a solid understanding of data parallelism and model parallelism
  • Experience with participating and winning Kaggle competitions
  • Domain knowledge in large-scale graph applications like recommendation systems.

Inside this Business Group

The Data Platforms Engineering and Architecture (DPEA) Group invents, designs & builds the world's most critical computing platforms which fuel Intel's most important business and solve the world's most fundamental problems. DPEA enables that data center which is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Other Locations

US, California, Santa Clara;US, Georgia, Atlanta;Virtual US and Canada

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Annual Salary Range for jobs which could be performed in US, Colorado:

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here

Work Model for this Role

This role is available as fully home-based and generally would require you to attend Intel sites only occasionally based on business need.

Intel is committed to a culture of accessibility.  Intel provides accommodations to applicants and employees with disabilities.  Find information and request accommodation here

USCollege GradJR0196797San DiegoDPEA (DP Engineering & Arch)
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Company Name: Intel
Company Description:
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