ZipRecruiter

Log In

1

Ai For Science Jobs in Tennessee (NOW HIRING)

Cisco

Applied AI Scientist

Nashville, TN · On-site

Join the Foundational Modeling team at Splunk, where we advance the state of AI for highvolume ... Collaborate with engineering, product, and data science teams to understand requirements ...

next page

Showing results 1-20

All JobsAi For Science JobsAi For Science Jobs in Tennessee

Ai For Science information

How does collaboration typically work between AI for Science professionals and domain experts in research teams?

AI for Science professionals frequently work closely with experts in fields such as biology, chemistry, or physics to identify scientific problems that can benefit from machine learning techniques. Collaboration usually involves regular meetings to translate complex scientific challenges into data-driven models, sharing domain knowledge, and iteratively refining solutions. Effective communication and a willingness to bridge gaps between computational and scientific perspectives are essential. This interdisciplinary teamwork not only enhances the impact of AI solutions but also fosters ongoing learning and innovation.

What is AI for Science?

AI for Science refers to the application of artificial intelligence and machine learning techniques to accelerate scientific discovery and research. By leveraging large datasets, complex models, and advanced computational methods, AI helps scientists analyze data, identify patterns, simulate experiments, and make predictions across various scientific fields such as biology, chemistry, physics, and climate science. This approach can significantly speed up research, uncover new insights, and solve problems that were previously too complex or time-consuming for traditional methods.

Which AI for science is best?

The best AI tools for science depend on the specific application, such as data analysis, modeling, or simulation. Popular options include TensorFlow, PyTorch, and specialized platforms like DeepMind or IBM Watson, which are used by researchers to develop and deploy AI models in scientific research. Proficiency in programming languages like Python and understanding of machine learning concepts are essential for roles in AI for science.

What are the key skills and qualifications needed to thrive as an AI for Science specialist, and why are they important?

To thrive as an AI for Science Specialist, you need a strong background in computer science, mathematics, and scientific domains, often supported by advanced degrees (e.g., PhD or MSc) in relevant fields. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools, and familiarity with high-performance computing environments are typically required. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for translating scientific problems into AI solutions. These skills are vital for developing innovative models, ensuring research rigor, and enabling impactful scientific discoveries.

What is the difference between Ai For Science vs Data Scientist?

AspectAi For ScienceData Scientist
Required CredentialsDegree in Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, scientific institutions, tech companies focused on scientific applicationsCorporate, tech firms, finance, healthcare, and other industries analyzing data
Industry UsageApplied to scientific research, simulations, and experimental data analysisUsed for data analysis, predictive modeling, and business insights

Ai For Science focuses on applying AI techniques to scientific research and experiments, often requiring a background in science and specialized knowledge of AI. Data Scientists analyze large datasets across various industries to extract insights and build models. While both roles involve AI and data analysis, Ai For Science is more research-oriented within scientific contexts, whereas Data Scientists work across diverse sectors on data-driven decision making.

What are popular job titles related to Ai For Science jobs in Tennessee? For Ai For Science jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Ai For Science jobs in Tennessee look for? The top searched job categories for Ai For Science jobs in Tennessee are:
What cities in Tennessee are hiring for Ai For Science jobs? Cities in Tennessee with the most Ai For Science job openings:
Ai For Science jobs near you
Infographic showing various Ai For Science job openings in Tennessee as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution.

Senior Research Scientist, HPC and AI

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

$85K - $108K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 120 rated laboratories

Job description

Requisition Id 16413
Overview:
The Analytics and AI methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring Senior Research Scientist to push the frontier of AI for science such as: scientific reasoning, federated & collaborative learning, and reinforcement learning (RL) for self-improving models on leadership-class supercomputers. You'll help design, train, and evaluate AI systems that plan, reason, and take actions to accelerate discovery across domains (materials, chemistry, climate, fusion, biology, and more).
NCCS operates the Frontier exascale supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you unmatched resources to prototype new ideas, run large ablations, and translate methods into scientific impact.
Examples of Focus Areas:
  • Agentic AI for Science: Autonomous and tool-using agents for experiment design, simulation steering, data collection, and lab/compute orchestration; planning and memory; multi-agent collaboration.
  • Scientific Reasoning: Program/path-of-thought, tool-augmented and retrieval-augmented reasoning; uncertainty quantification and calibrated decisions.
  • RL & Self-Improving Models: RLHF/RLAIF, online RL, self-play, open-ended discovery, reward modeling, curriculum/active learning, data selection, iterative post-training, safety alignment and guardrails.
  • Foundation Models for Science @ Scale: Pretraining, instruction tuning, continued pretraining, Mixture-of-Experts; distributed training/inference (FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation pipelines for reasoning and agents.
  • Federated & Collaborative Learning: Cross-silo training across institutions and facilities; privacy-preserving learning (secure aggregation, differential privacy, MPC/HE); personalization under heterogeneity; governance-aware data/model sharing; collaborative evaluation

The NCCS is the home of the world's first exascale supercomputer Frontier. Our Leadership Computing Program (OLCF) provides world class computing facilities to applications across all computational domains and disciplines. We are an inclusive dynamic environment that welcomes those with initiative and creativity.
Major Duties and Responsibilities:
  • Develop and coordinate division activities in HPC-AI with cross-cutting initiatives in the laboratory by establishing forward-looking centers of excellence.
  • Lead and collaborate with internal and external researchers on a variety of extreme-scale AI/ML research and projects.
  • Lead in authoring peer reviewed papers, technical papers, reports, and proposals. Advance personal and staff contributions in leading professional, academic, and research organizations.
  • Advance personal and staff contributions in leading professional, academic, and research organizations.
  • Team Building & Mentorship: Provide mentorship to postdocs, students, and junior staff, fostering long-term career development.
  • Stakeholder Engagement: Effectively communicate vision, strategy, and progress to DOE sponsors, industrial partners, and international collaborators.

Basic Qualifications:
  • PhD in Computer Science, Computer Engineering, or a field closely related to the job duties of this position.
  • A minimum of 6 years of relevant research experience outside of Ph.D.
  • Demonstrated research in cross-cutting fields of HPC and/or AI.

Preferred Requirements:
  • Demonstrated leadership in conceiving, planning, and delivering large-scale HPC-AI projects with measurable scientific or technological impact.
  • Experience securing competitive funding (e.g., DOE, NSF, DARPA, industry consortia) and leading multi-institution proposals.
  • Recognition by the broader community - invited talks, keynote addresses, professional society awards, or major benchmarks.
  • Impactful open-source contributions to HPC or AI framework (e.g., Megatron-LM, DeepSpeed, Ray, Distributed RL)
  • Interdisciplinary collaboration experience - working with domain scientist (climate, material, fusion, biology) to translate methods into real discoveries.
  • Strategic vision - ability to identify long-term research directions at the intersection of AI, HPC and domain sciences.

Special Requirements:
Please submit two letters of reference when applying to this position. You may upload these directly to your application or have them sent to ORNLRecruiting@ornl.gov with the position title and number referenced in the subject line.
Instructions to upload documents to your candidate profile:
  • Login to your account via jobs.ornl.gov
  • View Profile
  • Under the My Documents section, select Add a Document

About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.
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.
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.

What Oak Ridge National Laboratory employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply