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 ML & Distributed systems backgrounds. This role will work within our Research team, closely collaborating with researchers to build the platforms for training our next generation of foundation models.
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
5+ years of work experience. This role is not fit for grads .
Experience working with multi-modal ML pipelines, high performance computing and/or low level systems.
Passion for diving deep into systems implementations and understanding their fundamentals in order to improve their performance and maintainability.
Experience building stable and highly efficient distributed systems.
Strong generalist python and Software skills including significant experience with Pytorch.
Good to have experience working with high performance C++ or CUDA5+ years of experience
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.
