AI/ML Research Scientist

Peraton Labs is seeking a self-motivated AI/ML Research Scientist with a strong foundation in machine learning, optimization techniques and data analytics to help design and deliver next-generation ML-driven  modeling, simulation and analysis (MSA) capabilities.  The role focuses on research, prototyping and evaluation of AI/ML-driven analytics to expedite MSA including development of surrogate models to reduce simulation run times.  The role requires a deep understanding of machine learning techniques and optimization algorithms and working with simulators.

You will work with a small team of research scientists to investigate challenging problems, develop optimization and AI/ML-based solutions, software prototypes and demonstrate performance through hands-on evaluations.  The ideal candidate thrives in an environment where they can independently drive technical work while communicating results clearly through presentations and written technical documents.

Key responsibilities:

• Conduct applied research on AI/ML-driven analytics using cutting edge machine learning and optimization techniques to expedite high-fidelity modeling and simulations
• Design and implement prototypes that operationalize research into usable capabilities
• Work with teammates to translate customer needs into technical approaches, balancing novelty with feasibility and deployability
• Produce high-quality technical documentation, briefings and presentations, and contribute to reports, proposals, whitepapers, and publications
• Maintain strong system hygiene: Linux-based development, version control, containers, reproducibility, and clean software practices
• Learn and integrate new tools/technologies quickly to keep pace with evolving customer needs and emerging research

Required Qualifications

• Minimum of MS with 6+ years of experience or PhD with 3+ years of experience in Computer Science, Electrical and Computer Engineering, or closely related field
• Expertise in machine learning and optimization techniques
• Hands-on experience with ML tooling such a PyTorch, TensorFlow
• Knowledge of LLMs and agentic AI is a plus
• Experience with modeling, simulation and analysis
• Experience with developing surrogate models is a plus
• Strong software development skills in Python, C/C++
• Proficiency with Linux, Git, Docker and Kubernetes
• Excellent oral and written communication skills (technical presentations + well-structured documentation)
• Ability to work independently, manage ambiguity, and deliver tangible outputs in a research environment
• US Citizenship is a requirement for this position
• Willingness and eligibility to obtain a Secret clearance

 Preferred Qualifications

• History of peer-reviewed publications, patents, open-source contributions, or evidence of research impact in the relevant areas
• Current security clearance is a plus