ML Research Lead
il y a 1 semaine
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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ML Researcher
il y a 1 semaine
Paris, Île-de-France Wiremind Temps pleinSince 2014, Wiremind has positioned itself as a technical company transforming the world of transport and events with a 360° approach combining UX, software, and AI.Our expertise lies primarily in optimizing and marketing our clients' capacity. We work on various projects such as ticket forecasting and pricing, 3D optimization of air freight or scraping...
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ML Researcher
il y a 2 semaines
Paris, Île-de-France Wiremind Temps pleinSince 2014, Wiremind has positioned itself as a technical company transforming the world of transport and events with a 360° approach combining UX, software, and AI.Our expertise lies primarily in optimizing and marketing our clients' capacity. We work on various projects such as ticket forecasting and pricing, 3D optimization of air freight or scraping...
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Community ML Research Engineer, non-AI scientific fields
il y a 6 jours
Paris, Île-de-France Hugging Face Temps pleinAt Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 2M models, 700k datasets & 600k apps. Our open-source libraries have more than 600k+ stars on Github.About the RoleAs a Scientific Machine Learning Research Engineer, you will bridge...
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AI Research Scientist
il y a 1 semaine
Paris, Île-de-France Lexsi Labs Temps pleinLexsi Labs is one of the leading frontier labs focusing on building aligned, interpretable and safe Superintelligence. Most of the work involves on creating new methodologies for efficient alignment, interpretability lead-strategies and tabular foundational model research. Our mission is to create AI tools that empower researchers, engineers, and...
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Lead ML Engineering
il y a 1 semaine
Paris, Île-de-France Mindquest Temps pleinDéfinir l?architecture et la feuille de route technique en tenant compte des besoins de performance, scalabilité et sécurité.Accompagner les membres de l?équipe pour garantir la qualité du code, des modèles et des bonnes pratiques ML/engineering.Concevoir, construire et maintenir des pipelines ML robustes, depuis la collecte des données jusqu?à...
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Lead UX Researcher
il y a 3 jours
Paris, Île-de-France Trainline Temps pleinAbout UsWe are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.Great journeys start with Trainline Now Europe's number 1...
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ml engineering intern
il y a 1 semaine
Paris, Île-de-France STATION F Temps pleinAboutScienta Lab is a deeptech company harnessing artificial intelligence to transform the drug discovery and development process in immunology and inflammation.With its unique and proprietaryEVA foundation modeldedicated to immunology, Scienta Lab leveragesmultimodal datato bridge the gap of translational research, accelerate the validation of new...
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AI Research Scientist
il y a 1 semaine
Paris, Île-de-France Lexsi Labs Temps pleinAryaXAI stands at the forefront of AI innovation, revolutionizing AI for mission-critical businesses by building explainable, safe, and aligned systems that scale responsibly. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety.Our team thrives on a...
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Member of Technical Staff
il y a 2 semaines
Paris, Île-de-France Adaptive ML Temps pleinAbout the teamAdaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with measurable impact.We provide the core infrastructure to tune, evaluate, and serve specialized models at scale — pioneering task-specific LLM development and running...
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Member of Technical Staff
il y a 2 semaines
Paris, Île-de-France Adaptive ML Temps pleinAbout the teamAdaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialize and deploy LLMs into production with measurable impact.We provide the core infrastructure to tune, evaluate, and serve specialized models at scale — pioneering task-specific LLM development and running...
