Research Engineer

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 research engineer with extremely strong technical experience in training Generative AI models. You’ll be part of the research team, helping to build our core multimodal foundation models and manage training runs across thousands of GPUs.

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.

Experience

• Very strong demonstrated ability in Python and Pytorch
• Academic or Professional experience with (and understanding of) generative multimodal models such as Diffusion Models and GANs, as well as deep learning concepts such as Transformers
• Good to have familiarity with Linux clusters, systems & scripting
• Good to have experience working with large distributed systems (>100 GPUs)
• Experience building ML models from scratch in PyTorch

Benefits

• 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.

Why Join Luma AI?

• You will get to work with the world best AI researchers, shipping their research to millions of users around the world
• You will be equipped with all the tools, technologies, resources and AI tools you need to get the job done
• 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.

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