AI/ML Research Scientist: Surrogate Modeling & Simulations

Peraton; Home (PA); On-site; USD 135,000 - 216,000; Full time

Job summary

Peraton is seeking an AI/ML Research Scientist to advance ML-driven analytics for high-fidelity modeling and simulation capabilities. You will prototype and evaluate AI/ML-based solutions, develop surrogate models to reduce run times, and work with a small team to transform research into deployable capabilities.

The role demands deep ML knowledge, optimization skills, and strong communication while delivering results in a research setting.

Qualifications

• MS with 6+ years of experience or PhD with 3+ years in CS, ECE or closely related field.
• Expertise in machine learning and optimization techniques.
• Hands-on experience with ML tooling such as PyTorch, TensorFlow.

Responsibilities

• Conduct applied research on AI/ML-driven analytics to expedite high-fidelity modeling and simulations.
• Design and implement prototypes that operationalize research into usable capabilities.
• Translate customer needs into technical approaches balancing novelty with feasibility and deployability.
• Produce technical documentation, briefings and publications.

Skills

Machine learning

Optimization

Python

C/C++

Linux

Git

Communication

Education

MS in CS / ECE or related field

PhD in related field

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Job description

Peraton is seeking an AI/ML Research Scientist to advance ML-driven analytics for high-fidelity modeling and simulation capabilities. You will prototype and evaluate AI/ML-based solutions, develop surrogate models to reduce run times, and work with a small team to transform research into deployable capabilities.

The role demands deep ML knowledge, optimization skills, and strong communication while delivering results in a research setting.