Senior Research Engineer - Foundation Models

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 build our core multimodal foundation models and manage training runs across thousands of GPUs.

Responsibilities

• Lead and contribute to cutting-edge research in multimodal foundation models

• Design, develop, and experiment with novel algorithms, architectures, and techniques that enhance the performance, efficiency, and scalability of our AI models.

• Optimize the performance of models for deployment in production environments, focusing on latency, throughput, and computational efficiency without compromising accuracy or robustness.

• Inspect and manage large-scale data clusters to find inefficiencies and bottlenecks in model training, and data loading

• Collaborate with cross-functional teams including data, applied research and infrastructure

Experience

• Very strong demonstrated engineering ability in Python and Pytorch.

• Experience building ML models from scratch in 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).

Compensation

• The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan. 

Your application are reviewed by real people.

At Luma AI, 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 will deploy these systems to make a new kind of intelligent creative partner that can imagine with us. Free and away from the pressure of being creative. It's for all of us whose imaginations have been constrained, who've had to channel vivid dreams through broken words, hoping others will see what we see in our mind's eye. A partner that can help us show — not just tell.

Dream Machine is an early step to building that. Try it here

Why you should join us:

• Luma is bringing together the best team in the world to achieve our goal, from researchers to engineers and designers to growth operators

• Luma is not just a lab - we are deeply product focused and our vision merging AI models and delightful products is unique in the industry

• We build. We ship. Our early products have been wildly successful