Engineering

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Creative AI platform for video and image generation

Co-Founder

Luma, a Life-Sciences Investor, Debuts a $410 Million Fund

HUMAIN starts IPO preparations 16 months after launch, with revenues still undisclosed

Luma AI to Launch Fully Arabic Interface for Creative Platform

HUMAIN says planned $10B global VC fund could be larger, unveils separate Saudi-focused vehicle

Social Lead

Luma AI is a frontier research lab and an AI native product company. We're seeking a proven social media leader to define how frontier AI shows up in culture, owning the social strategy and building a team to make Luma the most-watched creative technology brand on the internet.

Lifecycle & Growth Marketing Lead

Luma AI is a frontier research lab and AI-native product company building creative agents that expand what creative professionals can imagine and make. The Lifecycle & Growth Marketing Lead will own the full conversion journey across the website, landing pages, onboarding, lifecycle marketing, and retention, using experimentation and analytics to improve growth. The role partners cross-functionally with Product, Design, Sales, and Marketing to develop programs, optimize funnel performance, and strengthen customer engagement and expansion.

Software Engineer, Inference

Luma is building unified general intelligence that can generate, understand, and operate in the physical world, with a focus on multimodal intelligence. The Software Engineer, Inference will own large-scale model serving systems by integrating architectures into the inference engine, scaling deployments across clusters and hardware providers, optimizing GPU utilization, and maintaining reliable inference infrastructure.

Visual Designer, Product

Luma is building unified general intelligence through multimodal AI focused on understanding and operating in the physical world. The Visual Designer will elevate the product’s visual quality, build and own a scalable design system, and shape the visual direction of new features while using AI coding tools to create live design-system outputs.

Research Scientist - World Model

Luma is building unified general intelligence that can generate, understand, and operate in the physical world through multimodal AI. The Research Scientist will develop controllable, physically faithful world models from generative video models, define evaluation metrics, conduct scaling studies, and contribute to frontier research and open-source releases.

Tech Lead Manager, Inference

Luma is a company focused on building unified general intelligence that can operate in the physical world. They are seeking a Tech Lead Manager to lead the inference engineering team, focusing on hands-on technical leadership while managing and growing the team.

Staff AI Infrastructure Engineer

Luma is a company focused on building unified general intelligence capable of operating in the physical world. As a Staff AI Infrastructure Engineer, you will be responsible for the reliability of the company's GPU fleet, turning deep systems knowledge into company-wide reliability and leading a team of engineers.

Research Scientist / Engineer – Reinforcement Learning Infrastructure

Luma is a company focused on building unified general intelligence that can generate, understand, and operate in the physical world. They are seeking a Research Scientist / Engineer to build and scale reinforcement learning systems at frontier scale, ensuring stability and efficiency across complex GPU workloads.

Software Engineer - Product

Luma is a company focused on building unified general intelligence that can generate, understand, and operate in the physical world. They are seeking a Software Engineer to ship real products to real users, working closely with experienced technical leaders and using AI coding agents to build efficiently.

Product Manager, Growth

Luma is on a mission to build unified general intelligence, and they are seeking a Product Manager focused on growth. The role involves owning growth strategies across the product lifecycle, driving acquisition, retention, and revenue through data-driven experimentation and collaboration with marketing and engineering teams.