Pros
Cofounders and research team are visionaries, at the top of their game in the 3D AI space. There is a lot of promise for the products and very fast-paced innovation to match. Company is not bogged down by indecision.Cons
There's a lack of people management/structure, but that is to come. When things are so fast paced, there is not always the space to spend time on creating process or structure.Own and drive the product roadmap for studio and enterprise VFX pipelines, enabling studios to scale production faster and more reliably with multimodal AI and robust orchestration tools.
Lead product positioning, go-to-market strategy, and launch execution for Luma’s generative visual AI as the company's first Senior Product Marketing Manager.
An opportunity to drive dataset design, benchmarking, and prototyping for multimodal foundation models at a fast-paced AI research team in Palo Alto.
Luma AI is hiring a senior backend engineer to architect and own the enterprise platform powering secure, high-traffic APIs, authentication, and analytics for enterprise customers.
Luma is looking for a Research Engineer to build scalable evaluation pipelines, metrics, and automation that measure and improve multimodal generative model quality.
Lead the creation of Luma's end-to-end test automation and quality practice, building frameworks and CI/CD signals to ensure exceptional reliability for frontier multimodal AI products.
Lead production MLOps efforts at Luma to deploy, optimize, and scale multimodal models and the infrastructure that serves them.
Lead product and model security at Luma Labs, shaping secure design and runtime protections for cutting-edge multimodal generative AI systems.