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il y a 7 jours


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Wazza Studio LLCLocation: Remote (US/EU preferred) or Paris, FranceType: Full-timeCompensation: competitiveReports to: CEO (Co-Founder) and later on CTOAbout WazzaWazza is building the world's first IP-licensed AI model network for film and media production. We're creating production-grade video generation models trained on properly licensed content, with transparent blockchain-tracked royalty distribution to IP owners.We just secured partnership with a major producer to train our first model and are building the infrastructure that will become the industry standard for compliant AI content generation.Our stack: Diffusion Transformers (DiT), Pyramidal Flow Matching, 3D-aware generation, MegaETH/Solana blockchain, , PostgreSQL.The RoleAs our first ML Research Lead, you'll architect and train the foundational models that power our IP-licensed AI network. This isn't incremental research—you're building production systems that will generate film-quality video for Netflix distribution.You'll work directly with the founding team to translate cutting-edge research (Sora, Movie Gen, Pyramidal Flow) into production models, starting with our producer's IP as the first proof of concept.This role is perfect for someone who:Wants to build production AI systems, not just publish papersThrives in 0→1 environments with high autonomyCares about the legal/ethical implications of AI trainingHas strong opinions on model architecture (and can back them up)What You'll DoMonths 1-3: FoundationDesign training architecture for first DiT model (3B-7B params)Set up distributed training infrastructure on AWS (8-16 A100s)Build data preprocessing pipeline for producer's IP (50+ hours of footage)Establish evaluation metrics (FVD, CLIPSIM, face similarity)Train baseline text-to-video modelMonths 4-6: Camera Control & IdentityIntegrate 3D cache system (GEN3C-style) for precise camera controlImplement frequency-domain identity preservation (ConsisID approach)Optimize inference speed (


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