Luma’s mission is to build multimodal AI to expand human imagination and capabilities.

We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

We are looking for people with strong research track record in diffusion, GAN, and other visual models. You will work on implementing and training large image, video, 4d, and vision-language models. You’ll be part of Luma’s foundation models research team and work directly on mission critical projects.

Startup Mindset

• Value velocity and execution.
• Communicate clearly.
• Focus on building what will matter to users and the product.
• Be resourceful at finding creative ways to overcome challenges.

• Academic or industry research experience with training generative models, especially diffusion models or GANs
• Experience with large-scale distributed training and/or data collection is a plus
• Strong first principles understanding of machine learning
• Proficiency in Python and PyTorch
• Experience in preparing and training large datasets

• Equity grant to reflect the incredible value you will bring to Luma, with annual refreshes.
• Excellent salary and benefits.
• Full health, dental, and vision coverage.
• Latest and greatest gear.
• Stipends towards wellness, house cleaner, and phone/internet.
• Unlimited paid time off with 12 days minimum.
• Unlimited sick days.

• In any role here, you will work with people experts in their field, and learn a *lot*
• We build. We ship. Your work will matter to people.
• We are building a very widely usable product, and you’ll get to work on equally wide variety of challenging problems.
• We have fantastic traction from early customers, whom you’ll get to work directly with.
• We have backing of some of the best VCs in Silicon Valley, and Angels from across the industry.