Data Scientist - Machine Learning & AI, Intermediate

Savannah River National Laboratory (SRNL) is seeking a highly motivated and self-starting AI and machine learning researcher to join our team in creating and maintaining large-language model research tools, especially for cybersecurity data. The successful candidate will have strong experience in Python, AI, and cybersecurity, with a focus on developing and maintaining high-quality code using unit testing, continuous integration, and deep learning models and libraries. The ideal candidate will be a solid researcher (PhD preferred), an independent worker, a good communicator, and a team player with a strong ability to write and document his or her work.

• Develop and maintain large-language model research tools for cybersecurity data using Python, Huggingface models, and Pytorch libraries  or other equivalent state-of-the-art technology
• Design and implement unit tests and continuous integration pipelines to ensure high-quality code 
• Collaborate with team members to develop and maintain research tools and software applications 
• Write and maintain technical documentation for research tools and software applications 
• Participate in code reviews and contribute to the improvement of the overall codebase 
• Develop and maintain strong understanding of cybersecurity concepts and threats 
• Collaborate in writing proposals for external sponsors, Laboratory Directed Research and Development (LDRD) projects, and other funding opportunities 
• Stay up-to-date with the latest developments in AI, cybersecurity, and large-language models 

Typical Tools and Technologies:

• Python libraries: NumPy, pandas, SciKit-Learn, Pytorch, TensorFlow 
• Data visualization tools: Plotly/Dash, Kibana, Matplotlib, Seaborn 
• Machine learning frameworks: SciKit-Learn, Pytorch, TensorFlow 
• Operating Systems: RHEL, Linux 
• Batch processing tools: PBS, SLURM 
• Version control systems: Git 
• Agile development methodologies: Scrum, Kanban 
• Others as the technology stack changes

Minimum Qualifications: 

• Bachelor's degree in Computer Science, Cybersecurity, or related field and 4-6 years of experience in software development, preferably in a research environment 
• For ability to obtain and maintain a security clearance, US Citizenship is Legally Required
• Strong experience in Python programming, including experience with AI and machine learning libraries (e.g. Pytorch, TensorFlow, scikit-learn) 
• Experience with deep learning models and libraries, particularly Huggingface, Pytorch, etc. 
• Strong understanding of cybersecurity concepts and threats 
• Experience with unit testing and continuous integration (e.g. Jenkins, GitHub, or others) 
• Excellent communication and teamwork skills 
• Ability to write and document technical work 
• Experience with version control systems (e.g. Git) 
• Familiarity with Agile development methodologies 
• Self-motivated and able to work independently 
• Experience with Red Hat Enterprise Linux (RHEL) or similar Linux distributions 
• Experience with batch processing tools such as PBS or SLURM 
• Familiarity with data engineering and curation principles and practices 
• Experience with data visualization tools such as Plotly/Dash, Kibana, or similar tools 

 

Preferred Qualifications: 

• Experience with machine learning primitives and ability to choose the right approach for a given problem (e.g. decision trees, random forests, deep learning) 
• Experience with natural language processing (NLP) techniques and libraries (e.g. NLTK, spaCy) 
• Familiarity with containerization (e.g. Docker) 
• Experience with cloud-based platforms (e.g. AWS, Azure) 
• Certification in cybersecurity or a related field (e.g. CompTIA Security+, CISSP) 
• Experience with proposal writing and research funding opportunities  

"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 Rive