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.

Qualifications

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.

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 technologiesspanning software, processors, storage, I/O, and networking solutionsthat 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:
$149,020.00-$223,560.00

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