Jobs at Luma AI

Build Luma's social engine from scratch: edit, concept, and execute high-craft short-form video across major platforms; produce a high volume of trend-driven content; translate research into engaging assets; grow a global creator community and monitor trends to keep Luma culturally relevant.

Lead and scale Luma's West Coast sales presence by owning full enterprise sales cycles, hiring and coaching a team of 5+ AEs, building pipeline with brands and agencies, translating creative AI value to marketing teams, and partnering with product/marketing/customer success to refine go-to-market playbooks.

Define and execute GTM strategy for Luma's multimodal AI. Craft positioning and narratives, establish brand/agency/studio partnerships, collaborate with Product/Design/Research, own product launches, and build scalable marketing systems and collateral.

Bridge frontier multimodal research and product by shaping research priorities, interpreting evaluations, building prototypes, and defining research-to-product handoffs across Canvas, Agents, and the model platform to deliver enterprise-facing features.

Lead end-to-end product strategy for Luma's creative photo and video tools. Drive roadmap, launches, A/B testing, analytics, and user research with professional creators. Partner with research, engineering, design, and marketing to integrate AI features and grow active user engagement.

Work across modeling, data, systems, and evaluation to make video foundation models expressive, controllable, and personalized. Build adaptation and personalization pipelines, define end-user quality metrics and evaluations, and collaborate with product and design to deploy production-ready model variants for creative partners.

Lead end-to-end editing, pacing, and narrative for major product launch videos and brand campaigns. Combine cinematic editing, advanced motion graphics, typography, and narrative-driven sound design. Translate raw model outputs into polished, emotionally resonant assets, iterate rapidly under tight timelines, and establish scalable creative workflows alongside motion designers and researchers.

Design, build, and operate large-scale RL post-training systems for multimodal foundation models: distributed training, high-throughput rollout generation, environment and reward infrastructure, evaluation and debugging tooling, and efficiency/stability improvements. Collaborate with researchers to productionize RL methods and run stable RL training across thousands of GPUs.

Forward Deployed Engineers at Luma build systems based on customer workflows, defining problems and delivering production solutions using Luma's models and APIs.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

The role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.

Seeking a Research Scientist/Engineer to design and optimize distributed training systems for large-scale multimodal AI models using thousands of GPUs.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.

Lead and hands-on build Luma's inference serving platform: architect scheduling, routing, autoscaling, and observability across thousands of GPUs; operate and optimize heterogeneous fleets; ship new model architectures from research to production; own SLOs, cost, incidents, and team hiring/mentorship.

This role requires shaping technical direction, leveraging AI tools for production systems, and making crucial decisions to align product intent with engineering realities.

The role focuses on optimizing AI models for efficiency, involving GPU/CPU code profiling, high-performance programming, and developing performance tools.

Act as a creative strategist for top brands using generative AI, designing workflows, and producing high-craft content while educating the creative community.