Peraton Labs · 4 hours ago
AI/ML Research Scientist
Peraton Labs is a next-generation national security company that delivers innovative solutions and revolutionary new capabilities. The AI/ML Research Scientist will focus on research and development of AI/ML technologies, primarily generative AI, and work with the R&D team to customize solutions for government and commercial clients.
ConsultingInformation ServicesMarket Research
Responsibilities
The AI/ML Research Scientist will work with project leads and managers to perform research and development of AI/ML technologies, with primary focus on generative AI using Large Language Models (LLMs)
Candidates are expected to work with the R&D team to customize and apply developed technologies to address problems of interest to customers
Candidates are expected to possess ability and experience to perform cutting-edge agentic AI research under the supervision of managers
Qualification
Required
U.S. Citizenship Required
Must have the ability to obtain / maintain a Secret clearance
Bachelor's degree and 5+ years, Master's degree and 3+ years, or PhD and 0 years in Engineering, Computer Science, Physics, or a related technical field of experience
Demonstratable AI/ML research experience, academic research publications in peer-reviewed international AI/ML conferences are preferred, unless similar qualifications can be demonstrated
Development expertise in Python and other programming languages such as C, C++, and Javascript
Agentic AI development using on of the agent development framework
Hands-on development experience in AI/ML model building and tuning
Demonstratable proficiency in working with the state-of-the-art Large Language Models at the API level (During interviews on MS Teams, candidates could be asked to use VSCode or another IDE to execute tasks through programmatic interactions with OpenAI tool/function call API)
Modern software development practices and toolsets (Linux, Git, CI/CD toolchains, Docker, Postgres)
AWS knowledge and development skill
Preferred
Extensive experience of using modern AI tools such as Anthropic's Claude Code to be a lot more efficient than writing code and debugging code using the conventional approach
Machine learning libraries, such as TensorFlow, PyTorch, etc
Anthropic's Model Context Protocol (MCP)
End-to-end machine learning model and multi-modal generative AI agent development experience
Orchestration tools such as Terraform and Kubernetes
Hands-on AI/ML development experience in a cloud environment, such as AWS Bedrock
Full stack programming experience
Benefits
Medical
Dental
Vision
Life
Health savings account
Short/long term disability
EAP
Parental leave
401(k)
Paid time off (PTO) for vacation
Company paid holidays
Company
Peraton Labs
At Peraton Labs, we refuse to think inside the box. As Peraton’s innovation hub, we are molding the future of emerging technologies.
Funding
Current Stage
Late StageRecent News
Google Patent
2025-08-21
2025-02-20
Google Patent
2025-02-20
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