*U.S. citizenship 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.

• 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

• 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.

Cambium offers a highly competitive compensation and benefits plan.
This includes excellent medical/dental/vision benefits, and a matching 401(k) plan.

Salary: $108K – $145K