AI/ML Research Scientist
Listed on 2026-09-12
-
Research/Development
Data Scientist -
IT/Tech
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
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, Tensor Flow
- 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
- History of peer-reviewed publications, patents, open-source contributions, or evidence of research impact in the relevant areas
- Current security clearance is a plus
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
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).