NOTE - Must be a U.S. Citizen due to clients under U.S. government contracts.

Defense, aerospace and other high-performance applications demand new material solutions stronger, lighter, more resilient tested and delivered faster than traditionally available. Cambium is disrupting advanced materials development, from AI-driven molecular design to agile domestic manufacturing. Whether enabling hypersonic flight or protecting critical systems, our solutions push the limits of what's possible. Cambium solves mission-critical problems in defense and industry. Our team of world-class scientists and engineers was purpose built to take on those challenges. Come join us and revolutionize advanced materials for defense, aerospace, and beyond.

The Role

We are seeking a AI Scientist/Engineer to join our team in developing and supporting materials discovery and design. The ideal candidate will have strong experience building AI-based solutions push the state of the art, including neural network architecture, attention mechanisms, multi-modal learning, aggregating and structuring training data, statistical theory, and cloud-based compute for parallelized, scalable and automated workflows.

Key Responsibilities

Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems. Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis. Design, develop, and maintain data workflows to support materials informatics initiatives. Optimize data pipelines and model execution on parallel cloud systems (e.g., Azure, GCP, AWS). Collaborate with materials scientists, chemists, and software engineers to integrate analytics and predictive modeling into core R&D workflows. Document code, workflows, and best practices to support reproducible research. Qualifications Graduate or undergraduate degree in Computer Science, Engineering, Applied Mathematics, or a related technical field. 2-4 years of work experience (depending on educational degree) in data science, AI, machine learning, or data engineering roles. Expert in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow or PyTorch). Expertise in use of cloud-based compute environments and tools for parallel or distributed computing. Strong problem-solving and communication skills. Desirable Background / experience in scientific, physical, or engineering fields. Experience with terraform, containerized workflows, and workflow orchestration.

Benefits

Cambium offers a highly competitive compensation and benefits plan. This includes excellent medical/dental/vision benefits, and a matching 401(k) plan, professional development reimbursement, and an opportunity for equity for most positions.

Compensation

$100,000 - $140,000 annually