Principal Research Scientist

We are building the world’s most capable foundational models, allowing anyone to generate beautiful, cinematic and high-definition video in minutes.We’re a small team of young & hungry researchers, and have raised over $30m from world class investors including Khosla Ventures & YCombinator. We released our first model two months ago, quickly becoming the fastest growing AI product on Discord since Midjourney with over 100,000 users in 6 weeks.We’re looking for a Principal Research Scientist and the role is fully remote (preference will be given to US and UK based candidates). Candidates outside the US and UK may apply but you will be required to relocate (we will offer a relocation package).At Moonvalley, our product development process will be a bit non-standard and consist of small autonomous teams working to ship great features and experiences.Hereis a good primer. You’ll work closely with your team (product designer, developers) daily, take ownership, make calls, and see things through without a lot of oversight.What you'll do (responsibilities)As a Principal Research Scientist, you will be instrumental in shaping and refining our AI models. Working alongside MLEs, you will ensure the development of cutting-edge AI models. Reporting directly to our Chief Scientist Officer, you will:Work with your team on groundbreaking research in generative video AI, exploring uncharted territories in this field. Your work will lay down the foundational bricks for technologies that transform the video industryEngage with academic advisors to integrate the latest research findings into our offeringsStay abreast of the newest trends in machine learning and artificial intelligence to enhance our products continually.Actively translate complex AI models into accessible and user-friendly productsCollaborate with various teams to define, design, and implement machine learning models and pipelinesDesign experiments, analyze outcomes, and refine models to boost performanceEngage in rapid iteration cycles for model Training/Fine-Tuning, testing, and deploymentCommunicate effectively with cross-functional teams to gather requirements and offer technical adviceWhat we're looking for (qualifications)The ideal candidate for this role should possess:A PhD in Computer Science, Mathematics or a related field with proven research experience in modern deep learning paradigmsProven track record of publications in the leading machine learning or computer vision conferences and journalsMinimum 5 years working with a leading world-class, high performance research teamProven experience both researching + deploying frontier tech (i.e LLMs, image diffusion, etc.)Strong technical proficiency in AI and ML, capable of guiding complex project designs and implementations.Proven experience in developing large-scale, complex AI applications(Nice to have) Experience with latent diffusion models, autoregressive image generation, consistency models, etc.What we offer (compensation & benefits)Competitive salary and equityHealth coverageUnlimited paid vacationFully-distributed culture that’s async firstHardware setupAs a small team going up against a field of Goliaths, we have to treat our work like an Olympic sport. Expect a lot of long nights and working weekends - we know this isn't for everyone, and we're up front and transparent about that.If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for.This is a fully remote position with Moonvalley, and we welcome candidates from anywhere. We meet a few times every quarter, usually in a center-point between NA and India (like Dubai).If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of sales, we encourage you to apply. We look forward to hearing from you!The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise balance organizational work
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