Foundational AI Research Scientist

1 Month ago • 1 Years + • $52,000 PA - $200,000 PA

Job Summary

Job Description

As a Research Scientist in Intel AI Lab, you will develop machine learning and optimization techniques to solve problems impacting semiconductor design and manufacturing. You will publish your findings, establish benchmarks, build open-source tools, and facilitate technology transfers. The role involves developing machine learning capabilities, techniques to accelerate optimization, and collaborating to integrate research into commercial design flows. This position requires experience in modern machine learning architectures, coding skills in Python and C++, and experience with machine learning frameworks like PyTorch. Candidates should also have a solid background in electrical engineering, computer science, information systems, or a related field.
Must have:
  • PhD with research experience in a STEM field.
  • 2+ years of experience with modern machine learning architectures.
  • 2+ years of solid coding skills in Python and C++.
  • 2+ years of experience with machine learning frameworks like PyTorch.
Good to have:
  • Deep learning on graphs.
  • Classical search and optimization techniques.
  • EDA tools.
  • Publications in top-tier venues in AI for chip design
Perks:
  • Competitive pay
  • Stock
  • Bonuses
  • Health benefits
  • Retirement plan
  • Vacation

Job Details

Job Details:

Job Description: 

Intel AI Lab is a research organization pursuing fundamental and applied research in Machine Learning. The problems we solve span computer vision, efficient ML architectures, chip design, computational chemistry and more. 

 

As a Research Scientist in Intel AI Lab, you will develop machine learning and optimization techniques to solve problems impacting semiconductor design and manufacturing. You will publish your findings, establish benchmarks, build open-source tools, and facilitate technology transfers. 

   

We are looking for a machine learning researcher (contract position) with solid hands-on implementation skills. You will be working on complex, industrial scale problems that involve multi-objective constrained optimization. The solutions you will explore will require core machine learning techniques as well as classical combinatorial optimization and search techniques. 

 

In this role, examples of your responsibilities are:   

  • Develop foundational machine learning capabilities for diverse applications. 

  • Develop machine learning techniques to accelerate optimization problems. 

  • Impact semiconductor design and manufacturing through research. 

  • Publish results in top-tier conferences and journals. 

  • Establish new industrial and academic benchmarks. 

  • Build open-source tools and facilitate technology transfers. 

  • Collaborate with teams to integrate research into commercial design flows. 

Qualifications:

You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. 

 

Minimum Qualifications:   

  • PHD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or STEM-related field. 

  • 2+ years of experience and solid background in modern machine learning architectures: Transformers, Graph Neural Networks, Diffusion models, etc. 

  • 2+ years of experience and solid coding skills in Python and C++. 

  • 2+ years of experience and solid experience with machine learning frameworks like PyTorch. 

 

This position is not eligible for Intel immigration sponsorship.

Preferred Qualifications: 

  • Deep learning on graphs (e.g., general graphs, circuit graphs, molecular graphs, or trees). 

  • Classical search and optimization techniques like Genetic Algorithms, Monte-Carlo Tree Search, Djikstra’s Algorithm, etc. 

  • EDA tools, either commercial or open-source 

  • Publications in top-tier venues in AI for chip design 

          

Job Type:

Intel Contract Employee

Shift:

Shift 1 (United States of America)

Primary Location: 

Virtual US

Additional Locations:

Business group:

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

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.

Position of Trust

N/A

Benefits:

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation.  Find more information about all of our Amazing Benefits here:

https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003

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

$52,000.00-$200,000.00

Salary range dependent on a number of factors including location and experience.

Work Model for this Role

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

The application window for this job posting is expected to end by 03/24/2025

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