Find Jobs
Find Jobs Near You – Available Work in Your Location
LSE Undergraduate Intern
Career Insights for Machine Learning Engineer
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on South Carolina data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$121,424 / year median in South Carolina
Job Description
LSE Undergraduate Intern Savannah River National Laboratory life insurance, paid time off, relocation assistance United States, South Carolina, Aiken Savannah River Site (Show on map) Jul 15, 2026 The Hydrogen Isotope Science Group at the Savannah River National Laboratory is seeking a highly motivated intern with at least three years of college coursework in a STEM field to join the American Science Cloud Genesis Program. The selected candidate will support the development and maturation of Inertial Fusion Energy technologies by leveraging artificial intelligence (AI) and advanced computational tools. This is a unique opportunity to contribute to groundbreaking research at the intersection of national security, advanced manufacturing, and clean energy. Basic knowledge in AI tools and data analysis is required. Develops partnerships with internal team members.
Able to communicate well in straight-forward situations.
Understands their own job and how the role interacts with their team.
Completes routine and repetitive tasks where tasks are straightforward.
Works safely with particular attention to quality. Complies with all policies and standards. Minimum Must be a U.S. citizenship.
Completion of at least three years of college coursework in Computer Science, Engineering, Physics, Mathematics, or a related STEM field. Preferred Fundamental knowledge of artificial intelligence, machine learning, or data science principles.
Experience with programming languages such as Python, R, or MATLAB.
Strong analytical, problem-solving, and communication skills. Ability to work collaboratively in a fast-paced, multidisciplinary environment. "We put science to work!" Savannah River National Laboratory (SRNL) is a multi-program laboratory applying state of the art science and practical, high-value, cost-effective solutions to complex technical problems to protect the nation. Located at the U.S. Department of Energy's (DOE) Savannah River Site (SRS) in Aiken SC, the laboratory develops and deploys innovative technologies to address some of the nation's environmental, energy, and national security challenges. Battelle Savannah River Alliance (BSRA) is constantly assessing trends to provide the best possible benefits to our workforce. We also negotiate cost effective premiums that will meet the needs of our evolving workforce. Some of the •Benefits offered to employees include: •Benefits vary based upon employment status Highly competitive Medical, Dental, and Vision options including HSA options with company provided seed
Short- & Long-Term Disability (company paid)
Life Insurance Non-Contributary 1X salary (company paid)
AD&D Non-contributary 1x salary (company paid)
Savings & Investment plan: Qualified Non-Elective Company Contribution of 5% each pay period with immediate vesting
Company match 50 cents/dollar up to 8% (5 yrs. vesting in company match) Contributory Life Insurance up to 5x Salary with $1M Cap
Contributory AD&D (employee, spouse and children)
Paid Time Off
Employee Assistance Plan
SRNL offers a competitive relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. For more information about our benefits, working here, and living here, visit the "About" tab at www.srnl.doe.gov. BSRA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. BSRA is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. Please email us at SRNLRecruiting@srnl.doe.gov with any questions regarding the hiring process or to request an accommodation.