Jobs at Luma AI

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.

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.

Luma AI seeks high agency talent for various roles across research, product engineering, marketing, and strategy. Ideal candidates are innovative, detail-oriented, and proactive in showcasing their work and achievements.

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

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

Provide high-impact executive support to Head of Marketing and Head of Sales by managing complex calendars, global travel, confidential communications, and building administrative systems to optimize GTM operations. Coordinate cross-functional meetings and act as a strategic gatekeeper to maximize executive time and efficiency.

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.

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

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

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

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

The Lead Infrastructure and Reliability Engineer will enhance GPU operations, define scalability strategies, and develop organizational strengths in a high-demand AI infrastructure setting.

As a senior Product Designer, you'll lead the design process, create innovative interactions, and collaborate on product strategy, transforming concepts into shippable features.

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.

Lead global compute capacity and platform strategy for training and inference: plan multi-year capacity, manage vendor/cloud partnerships, direct infrastructure and datacenter teams, optimize cluster efficiency (>50% MFU), oversee large capital deployments, and serve as executive liaison to silicon vendors and hyperscalers to enable world-model and robotics workloads.

The Visual Designer will enhance the product's visual quality, build a scalable design system, and ensure exceptional design standards are maintained.

The Social Media Manager will develop and execute a social media strategy for Luma's multimodal AI, creating impactful content and community growth across platforms. This role requires building a presence from scratch and driving engagement with creative professionals and AI enthusiasts.