Job Description

As a Research Scientist in Intel AI Lab, you will develop novel machine learning capabilities for a wide range of applications. This role will focus on machine learning techniques to accelerate computational chemistry. You will bring together state-of-the-art geometric deep learning and scalable machine learning techniques to accelerate traditional scientific computing pipelines. The outcomes from this research vector will be publications at top tier conferences and journals, open source software tools for developers and practitioners and direct technology transfers to business units within Intel for adoption into commercial design flows.

The ideal candidate should exhibit the following behavioral traits:

· Problem-solving skills.

· Ability to multitask.

· Strong written and verbal communication skills

· Ability to work in a dynamic and team-oriented environment.

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 would 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 PhD degree in Computer Science, Electrical Engineering, or any related fields (Statistics, Applied Math, or Computational Neuroscience)

1+ year of experience on below areas:

·Design and train deep learning models and other machine learning techniques.

·Original contributions to the fields of deep reinforcement learning in the form of peer-reviewed publications at top-tier conferences or journals.

·Familiarity with DL, ML frameworks like PyTorch and TensorFlow

Preferred Qualifications:

·Experience using ML acceleration tools like DeepSpeed.

·Experience training large scale ML models in distributed, model-parallel, or data-parallel settings.

·Demonstrable ability to execute projects end to end - e.g., via projects on GitHub, Kaggle ranks, etc.

·Graduate level training and understanding of classical methods in Computational Chemistry, Molecular Search, Materials Science, etc.

Inside this 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.

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 US, Colorado, New York, Washington, California: $162,082.00-$243,222.00

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

Working Model

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. In certain circumstances the work model may change to accommodate business needs.