Moonvalley is developing cutting-edge generative AI models designed to power Superbowl-worthy commercials and award-winning cinematic experiences. Our inaugural, cutting-edge HD model, Marey, is built on exclusively licensed and owned data for professional use in Hollywood and enterprise applications.<br><br>Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from Deepmind, Google, Microsoft, Meta & Snap, have decades of collective experience in machine learning and computational creativity. We have also established the first AI-enabled movie studio in Hollywood, filled with accomplished filmmakers and visionary creative talent. We work with the top producers, actors, and filmmakers in Hollywood as well as creative-driven global brands. So far we’ve raised over $100M+ from world-class investors including General Catalyst, Bessemer, Khosla Ventures & YCombinator – and we’re just getting started.<br><br><strong><strong>What You'll Do (responsibilities)<br><br></strong></strong>Here are some examples of projects you might work on as a Member of Technical Staff at our company:<br><br><ul><li>Work closely with academic advisors to incorporate cutting-edge research into our product. </li><li>Contribute to R&D projects aimed at developing computer vision models. </li><li>Keeping up to date with the latest advancements in machine learning and artificial intelligence to continuously improve our products. </li><li>Collaborating with cross-functional teams to define, design, and implement machine learning models and pipelines. </li><li>Conducting experiments, analyzing results, and iterating on models to optimize performance. </li><li>Participate in swift iteration cycles related to Training/Fine-Tuning, testing and deployment of models. </li><li>Experiment, validate, and iterate on machine learning models specific to video and image processing. </li><li>Communicating clearly and effectively with cross-functional teams to understand requirements and provide technical guidance. <br><br></li></ul><strong><strong>What We're Looking For (qualifications)<br><br></strong></strong>The ideal candidate for this role should possess:<br><br><ul><li>MS/PhD in Computer Science, Electrical Engineering or a related field with a focus on computer vision. </li><li>Proven research experience in computer vision and familiarity with academic conferences (CVPR, ICCV, NeurIPS). </li><li>Exceptionally strong Python skills - Minimum 5 years of experience. </li><li>Knowledge of CNN, RNN/LSTM/GRU, and Transformer models. </li><li>Rapid prototyping using open-source algorithms and shaping them to meet product needs. </li><li>Experience deploying ML models in the Cloud. </li><li>Prior experience with AWS and related services. </li><li>Experience with databases (Postgres/MySQL). </li><li>ML framework: Pytorch / Tensorflow. </li><li>Experience with experiment tracking systems. </li><li>Bonus: Contributions to open-source projects in computer vision. <br><br></li></ul><strong><strong>What We Offer (compensation & Benefits)<br><br></strong></strong><ul><li>Competitive salary and equity </li><li>Private health coverage </li><li>Pension contribution </li><li>Unlimited paid vacation </li><li>Fully-distributed culture that’s async first </li><li>Hardware setup </li><li>Stipends for phone, internet, and meals <br><br></li></ul><strong><strong>What We Offer (compensation & Benefits)<br><br></strong></strong><ul><li>Competitive salary and equity </li><li>Private health coverage </li><li>Pension contribution (UK, Canada, US) </li><li>Unlimited paid vacation </li><li>Fully-distributed, async-first culture </li><li>Hardware setup of your choice </li><li>Stipends for phone, internet, and meals <br><br></li></ul>In our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation.<br><br>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.<br><br>All business roles at Moonvalley are hybrid positions by default, with some fully remote depending on the job scope. We meet a few times every year, usually in London, UK or North America (LA, Toronto) as a company.<br><br>If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of media and entertainment, we encourage you to apply. We look forward to hearing from you!<br><br><em>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<br><br></em><em>Moonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs.<br><br></em><em>Please be assured we'll treat any information you share with us with the utmost care, only use your information for recruitment purposes and will never sell it to other companies for marketing purposes. Please review our privacy policy and job applicant privacy policy located</em> <em>here</em> <em>for further information.<br><br></em>