Research Scientist / Engineer – Performance Optimization
You'll make Luma's multimodal models fast — profiling and optimizing GPU, CPU, and accelerator code so they train efficiently and deploy at scale without sacrificing quality.
29 live vacancies in the US.
You'll make Luma's multimodal models fast — profiling and optimizing GPU, CPU, and accelerator code so they train efficiently and deploy at scale without sacrificing quality.
You'll build and train large-scale multimodal agentic models — systems that reason, plan, code, and call tools to do complex, multi-step work over pixels. This is core research shaping how users interact with what Luma's models can do.
You'll own growth end to end at Luma — acquisition, activation, retention, and revenue — scaling the product from strong early traction toward mass adoption, and defining how growth works here from first principles.
You'll build Luma's enterprise products from the model up, turning frontier multimodal capabilities into solutions marketing, advertising, and entertainment customers will pay for and scale.
You'll own the roadmap for Luma's core creative product, turning frontier AI research into pro-level photo and video tools that creators love, driving adoption and setting PM best practices from day one.
You'll own the bridge between Luma's frontier research and its products — Canvas, Agents, and the model platform — making sure what researchers build is shaped by what customers need, and what ships takes full advantage of what research…
Forward Deployed Engineers turn what Luma's models can do into systems customers actually rely on.
Forward Deployed Engineers turn what Luma's models can do into systems customers actually rely on.
You'll be Luma's creative lead on the ground with major brands and agencies, turning what our models can do into production workflows they actually use.