Senior/Principal Forward Deployed Engineer - Applied AI/ML

As a Senior/Principal Applied AI/ML Scientist on Luminary's Applied AI/ML team, you build the Physics AI models that power customer outcomes. You work in a matrix structure inside customer value delivery teams alongside a Lead Delivery Engineer, Applications Engineers, and Data & Platform engineers. You take real customer engineering problems, design and train the right model architectures, and partner with the team to deploy those models into production engineering workflows. You operate at the boundary of cutting-edge research and applied delivery — staying connected to the frontier of physics-informed ML while making sure your work ships and gets used.

Own model development for Physics AI engagements: architecture selection, training pipeline design, hyperparameter tuning, evaluation, and validation against ground-truth simulation.

Work with Applications Engineers to ensure training data is physically meaningful and adequate for the target use case.

Partner with Data & Platform engineers to operationalize training pipelines, model registries, and inference serving.

Collaborate with Luminary Research to apply state-of-the-art techniques — neural operators, diffusion models, geometric deep learning, latent representations — to real customer problems.

Embrace co-engineering: work side-by-side with customer data scientists and engineers, sharing methodology and building model literacy on the customer side.

Bring back signal from delivery into Research and Product, helping shape the next generation of Luminary's Physics AI methods and platform.

Mentor junior team members and contribute to internal best practices for applied physics-informed ML.

5–10 years of experience in applied machine learning, with significant exposure to scientific computing, engineering simulation, or physics-informed ML. Principal-level candidates trend toward the upper end of the range.