AI / ML Scientist

Luminary Cloud helps engineering companies be more competitive by getting to market faster, creating new, better products, and reducing development risk. We do this with our Physics AI platform, the fastest and easiest way to build and deploy models to understand and instantly predict physical reality with precision. Customers span industries from automotive and aerospace, to leading sporting equipment providers, including Otto Aviation, Joby Aviation, Piper Aircraft and Trek Bikes. Luminary is a Series B company and is headquartered in San Mateo, California.

AI / ML Scientist | Luminary Cloud

Luminary Cloud is transforming how the world's most innovative companies generate vast amounts of CFD simulation data for Physics AI, design exploration, and optimization. Backed by Sutter Hill Ventures, our Series B startup is at the forefront of the transition to Physics-based AI through our scalable cloud platform.

Key Duties, Responsibilities, and Deliverables

• Develop and productize novel machine learning approaches for physics-based simulation problems including CFD, structural analysis, and thermal simulation.
• Deliver measurable value by addressing customer pain points in engineering simulation through innovative ML solutions.
• Work with vast amounts of heterogeneous data from physics-based models to extract insights and build predictive capabilities.
• Translate research concepts into production-ready capabilities that enable new product features and customer value.
• Collaborate with cross-functional teams focusing on customer-centric problem solving, balancing research innovation with practical implementation.
• Deploy machine learning models in production environments using frameworks like PyTorch, TensorFlow, or JAX.
• Initiate, develop, and conclude complex projects with clear business impact and measurable outcomes.
• Write production-level code with velocity while maintaining scientific rigor and reproducibility.

Expertise and Qualifications

Background and Experience

In-Office Commitment : Enthusiastic about being in-office 5 days a week, contributing to our collaborative research and development environment where physics meets AI innovation.