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.
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
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://jobs.intel.com/en/benefits
Annual Salary Range for jobs which could be performed in the US:
$52,000.00-$200,000.00Salary 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 03/27/2025Yearly based
Virtual - USA AZ, United States
