Member of Technical Staff, Research Engineer
MoonvalleyArtificial IntelligencePosted 21 February 2026
Job Description
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.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.What you'll do (responsibilities)Here are some examples of projects you might work on as a Member of Technical Staff at our company:Work closely with academic advisors to incorporate cutting-edge research into our product.Contribute to R&D projects aimed at developing computer vision models.Keeping up to date with the latest advancements in machine learning and artificial intelligence to continuously improve our products.Collaborating with cross-functional teams to define, design, and implement machine learning models and pipelines.Conducting experiments, analyzing results, and iterating on models to optimize performance.Participate in swift iteration cycles related to Training/Fine-Tuning, testing and deployment of models.Experiment, validate, and iterate on machine learning models specific to video and image processing.Communicating clearly and effectively with cross-functional teams to understand requirements and provide technical guidance.What we're looking for (qualifications)The ideal candidate for this role should possess:MS/PhD in Computer Science, Electrical Engineering or a related field with a focus on computer vision.Proven research experience in computer vision and familiarity with academic conferences (CVPR, ICCV, NeurIPS).Exceptionally strong Python skills - Minimum 5 years of experience.Knowledge of CNN, RNN/LSTM/GRU, and Transformer models.Rapid prototyping using open-source algorithms and shaping them to meet product needs.Experience deploying ML models in the Cloud.Prior experience with AWS and related services.Experience with databases (Postgres/MySQL).ML framework: Pytorch / Tensorflow.Experience with experiment tracking systems.Bonus: Contributions to open-source projects in computer vision.What we offer (compensation & benefits)Competitive salary and equityPrivate health coveragePension contributionUnlimited paid vacationFully-distributed culture that’s async first Hardware setupStipends for phone, internet, and meals#LI-RemoteWhat we offer (compensation & benefits) Competitive salary and equityPrivate health coveragePension contribution (UK, Canada, US)Unlimited paid vacationFully-distributed, async-first cultureHardware setup of your choiceStipends for phone, internet, and mealsIn 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.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.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.If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of media and entertainment, we enc ... (truncated, view full listing at source)
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