Teams at Fundamental

Conduct research across the full machine learning lifecycle, including ideation, model design, implementation, evaluation, training, inference optimization, and deployment. Develop novel machine learning methods and foundation models, establish evaluation protocols, scale training with GPUs or TPUs, and improve research engineering infrastructure for rapid experimentation.

Own the AI strategy and expansion roadmap for a strategic oil and gas enterprise account. Build executive relationships, identify and prioritize prediction use cases, develop business cases and ROI models, secure sponsorship and budgets, orchestrate technical delivery teams, measure realized value, and turn successful deployments into broader programs and repeatable expansion frameworks. The role requires strong oil and gas expertise, commercial acumen, technical fluency, and regular engagement with customer sites and company offices.

The Forward Deployed Full-Stack Engineer will create production-grade applications, manage technical relationships, and ensure seamless integration of AI models into client environments.