Job Details:

Job Description: 

Join Intel AI Lab and contribute to groundbreaking research that will shape the future of computational chemistry and machine learning.  As a Foundational AI Research Scientist at Intel AI Lab, you will pioneer advanced machine learning techniques to revolutionize computational chemistry. Your work will integrate cutting-edge geometric deep learning and scalable machine learning methods to enhance traditional scientific computing processes. The results of your research will be disseminated through top-tier publications, open-source software, and direct technology transfers to Intel's business units for commercial application. 

   

In this role, your responsibilities will include:   

• Develop and implement novel machine learning models to accelerate computational chemistry. 

• Integrate state-of-the-art geometric deep learning and scalable machine learning techniques into scientific computing pipelines. 

• Publish research findings in top-tier conferences and journals. 

• Create open-source software tools for developers and practitioners. 

• Collaborate with Intel business units to transfer technology for commercial use. 

• Work effectively in a dynamic, team-oriented environment. 

• Communicate research outcomes and technical information clearly through written and verbal means. 

 

The successful candidate should exhibit the following behavioral traits:  

• Good analytical skills  

• Problem-solving skills  

• Independent work ethic  

• Intuitive thinking 

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 in Computer Science, Electrical Engineering, STEM-related field. (e.g., Statistics, Applied Math, Computational Neuroscience, etc.). 

• 1+ year of experience in: 

• Designing and training deep learning models and other machine learning techniques. 

• Contributing original research to the field of deep reinforcement learning, evidenced by peer-reviewed publications in top-tier conferences or journals. 

• Utilizing deep learning and machine learning frameworks such as PyTorch and TensorFlow. 

Job Type:

College Grad

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://jobs.intel.com/en/benefits

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

$168,100.00-$237,310.00

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 02/07/2025