Cleared Senior/Principal Computer Science - Generative AI Research Engineer

at  Sandia National Laboratories

ABOUT SANDIA

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

• Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
• Extraordinary co-workers
• Some of the best tools, equipment, and research facilities in the world
• Career advancement and enrichment opportunities
• Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
• Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov

• These benefits vary by job classification.

WHAT YOUR JOB WILL BE LIKE

We are seeking a Computer Science/Generative AI Research Engineer to join our team.

On any given day, you may be called on to:

• Lead new projects and implementation thrusts, and secure funding for innovative research initiatives dedicated to integrating GenAI into the mission.
• Review state of the art literature with teammates and partners for continuous learning and brainstorming.
• Conduct experiments with algorithms from recent machine learning and deep learning literature
• Bring to bear and/or build machine learning prototypes for use in research assessments and experimentation.
• Present, publish and/or patent novel research.

Due to the nature of the work, the selected applicant must be able to work onsite.

QUALIFICATIONS WE REQUIRE

• PhD in relevant STEM field plus two (2) or more years’ experience in deep learning or;
• Master’s degree in relevant STEM field plus six (6) or more years’ experience in deep learning
• One (1) or more years’ experience in modern generative AI (VLMs, Diffusion models, LLMs) related to:
• Fine-tuning
• Building pipelines and workflows
• Three (3) or more years’ experience:
• programming in Python
• working in Linux environments
• Demonstrated ability to communicate technical information clearly, concisely and geared towards the appropriate audience
• Active DOE Q or TS clearance

QUALIFICATIONS WE DESIRE

• Two (2) or more years’ experience in early LLMs (e.g., BERT) and traditional NLP
• Experience in two (2) or more of the following machine learning frameworks:
• Tensorflow
• Pytorch
• Scikit-learn
• LangChain
• Exceptional communication skills with a track record of building and maintaining collaborative and customer relationships
• Strong analytical and critical thinking skills to identify creative solutions
• Author on a paper accepted at a major ML conference
• Ability to acquire and maintain an SCI clearance

NNSA REQUIREMENTS FOR MEDPEDS

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date

Please refer the Job description for details