Oak Ridge National Laboratory · 3 days ago
Machine Learning Data Engineer
Oak Ridge, TN
Full-time
Hybrid
Mid, Senior Level
4+ years expOak Ridge National Laboratory is seeking qualified applicants for a Machine Learning Engineer position for health research projects. The role involves designing and implementing robust machine learning applications for biomedical research, collaborating with research staff, and managing ML codebases and workflows.
Advanced MaterialsClean EnergyEnergyEnergy ManagementManufacturingNuclearRenewable Energy
Responsibilities
Independently solving a variety of sophisticated technical problems for scientific and technical projects
Developing high-quality code following best practices in the community for documentation, provenance, version control, etc
Managing, maintaining, and refactoring ML codebases, pipelines, and workflows
Collaborating closely with research staff to design and implement novel ML approaches
Implementing scalable ML methods and workflows for high-performance computing (HPC) resources, in close collaboration with research staff and computing technical staff
Mobilizing and leading data analysis activities on projects with a focus on common deliverables, goals, and timelines
Troubleshooting data analysis issues, including implementation issues, hyper-parameter choices, and modeling decisions
Assisting in preparation of manuscripts and dissemination of research results in publications and conferences
Working on a variety of data analysis assignments in collaboration with scientists and engineers
Working in secure enclaves and open computing environments on a wide variety of applied areas
Conducting tasks independently and communicate optimally to team members and stakeholders
Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success
Qualification
Required
B.S. and 5+ years of relevant experience, or an M.S. and 4+ years of relevant experience
Degree area should be in Computer Science, Statistics, Information Systems, Engineering, or closely related field
Significant expertise with the Python ecosystem for data science
Significant expertise with PyTorch or Tensorflow
Preferred
Foundational understanding of supervised and unsupervised learning, reinforcement learning, and deep learning
Experience with large, multimodal datasets
Experience developing scalable ML algorithms and workflows for HPC resources
Experience working on Linux/Unix platforms
Self-disciplined work ethic and eagerness to tackle ambitious research problems
Experience with health care informatics and clinical data is highly desired
Excellent written and oral communication skills
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to constantly evolving needs
Benefits
Medical and retirement plans
Flexible work hours
On-site fitness
Banking
Cafeteria facilities
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
Employee Discounts
Company
Oak Ridge National Laboratory
Oak Ridge National Laboratory holds a range of R&D assignments, from fundamental nuclear physics to applied R&D on advanced energy systems.
5001-10000 employees
H1B Sponsorship
Oak Ridge National Laboratory has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (268)
2024 (276)
2023 (223)
2022 (228)
2021 (192)
2020 (152)
Funding
Current Stage
Late StageTotal Funding
$9.8MKey Investors
US Department of Energy
2023-09-21Grant· $4.8M
2023-07-27Grant
2022-03-14Grant· $5M
Leadership Team
Arjun Shankar
Director, Compute and Data Environment for Science
Brett Ellis
Group Lead - Business Systems Operations
Recent News
2026-01-03
2025-12-13
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