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