AI Engineer, Foundation Models

U.S. persons required due to the nature of our work. We are hiring an AI Engineer who thrives in fast iteration loops and wants to build training pipelines, run experiments, optimize models, and ship AI that directly impacts R&D and operations. You will work shoulder to shoulder with the AI and materials science teams to implement experiments, improve performance, manage datasets, and wrap models for deployment. This is a hands‑on, full stack AI engineering role with tremendous room for technical and career growth. Key Responsibilities Execute training runs, ablations, evaluations, and model experiments under the guidance of the AI Architect. Own model codebases: data loaders, training loops, evaluation harnesses, inference tooling. Optimize model performance (compute, memory, distributed training). Partner with the Data Platform Engineer on dataset creation, feature/data contracts, and labeling. Package models for production and collaborate with Deployment Engineer and users/operations teams to iteratively improve Key Requirements 5+ years in model training, experimentation, and AI/ML tooling Exceptional programming and ML engineering fundamentals (Python, PyTorch, training pipelines). Experience in full stack deployments. Interest in scientific and physical modeling applications is a plus. Benefits Cambium offers a highly competitive compensation and benefits plan. This includes excellent medical/dental/vision benefits, and a matching 401(k) plan. As a condition of employment, the candidate may need to successfully complete a medical evaluation and obtain clearance to wear respiratory personal protective equipment (PPE) as required by OSHA 29 CFR 1910.134. Cambium is an Equal Opportunity Employer. At Cambium, all qualified applicants will be evaluated for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. #J-18808-Ljbffr