We are looking for people with strong product sense and a great taste for design. This role involves building performant generative interfaces, video editing, local ML inference, and crafting a scalable app.
Experience
5+ years of deep expertise in developing and shipping delightful native iOS apps.
Strong software development skills, and proficiency in either Swift or Objective-C.
Experience working across the stack, interacting with a web server and local file systems.
Deep experience working with AVFoundation and/or Video ToolBox is a strong plus.
Experience building image, video editing apps is a plus.
Compensation
The pay range for this position in California is $170,000 - $225,000yr; 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.
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
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
Yearly based
Palo Alto, California