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Research Scientist in AI and Machine Learning

Date: Nov 19, 2021

Location: Oak Ridge, TN, US, 37830-8050

Company: Oak Ridge National Laboratory

Requisition Id 6601 

Level: RP02


The Oak Ridge National Laboratory (ORNL) seeks early and mid-career researchers experienced in all areas of research related to artificial intelligence and machine learning including reinforcement learning, nature inspired algorithms, deep learning, and natural language processing.   We are specifically interested in research focused on the development of new algorithms and methods that can be used to analyze large and complex scientific data using novel computer architectures such as high performance, neuromorphic, and quantum computing.

We are a community of top researchers who are ready to tackle the hardest problems faced by the country and the world, such as the development of advanced materials, clean energy, national security, and supercomputing.  ORNL is an open science laboratory, where research staff are expected to participate in and demonstrate leadership in the international research community.

As a research staff member, you will have the opportunity to help solve some of the most challenging problems this country faces. You will perform ground breaking research on a wide range of significant problems with the fastest computing platforms in the world. This position requires novel thinking, teamwork, and discovery in finding new approaches for analyzing massive and complex data, collaborating with worldwide experts, and publishing ground breaking results.


Major Duties/Responsibilities:  

  • Perform basic and applied research in artificial intelligence and machine learning to further scientific discovery.
  • Collaborate with top researchers and scientists on challenging national scale problems.
  • Publish research results in top computer science conferences and journals.


Basic Qualifications:

  • Ph.D. in Computer Science or closely related field.
  • Outstanding publication track record.
  • Relevant research experience in artificial intelligence, machine learning or data analytics.
  • Hands on experience with latest artificial intelligence and machine learning libraries.
  • Programming experience in one or more of the following languages: C, C++, Java, and/or Python.
  • Ability to communicate effectively (both verbal and written).


Preferred Qualifications:

  • Ability to collaborate with a wide range of scientists, engineers, and program managers.
  • Experience with high performance computing and novel computing architectures.


ORNL Ethics and Conduct:

As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here:


Benefits at ORNL:  UT-Battelle offers a quality benefits package, including a matching 401(k), contributory pension plan, paid vacation, and medical/dental plan options. Onsite amenities include a credit union, medical clinic, cafeteria, coffee stands, and fitness facilities.   


Relocation:   UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.


For more information about our benefits, working here, and living here, visit the “About” tab at


This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.