Senior ML Researcher

Use CasesFashionReal-estate Food CarsSocialModelsManifestoRequest AccessWhy you should join usAt Finegrain, we’re building best-in-class models for object erasing & insertion — a capability at the core of the future of image editing, e-commerce, and advertising. We're a small, focused team where your contributions directly shape the state of the art.What you can expect when joining:Cutting-edge research → Train and deploy models purpose-built for image editing, using EditNet, one of the most comprehensive before/after datasets in existence.Real-world impact → Your work will reach millions of users through our partners in e-commerce, stock photography, and creative platforms.High autonomy → We trust you to drive projects end-to-end, from research to deployment.Collaborative team → Join a tight-knit group of researchers and engineers who've shipped ML products at scale before (Moodstocks → Google, now Finegrain).Flexibility → Hybrid work is favored but remote is possible for the right candidates. We're based at Station F, the world's largest startup campus in Paris. Open positionsSenior ML ResearcherWe're looking for an experienced ML researcher to push the boundaries of object-aware image editing models. You'll work on:Designing and training diffusion-based architectures for object removal and insertionLeveraging EditNet (our high quality before/after dataset) to improve realism, fidelity, and controlExperimenting with new training strategies (loss functions, control signals, conditioning) to improve precision and scalabilityCollaborating with engineers to bring research into production models powering millions of editsRequirements:PhD or equivalent research experience in ML, computer vision, or generative modelsStrong track record with diffusion models, transformers, or related architecturesSolid understanding of image editing tasks (inpainting, harmonization, relighting, compositing, etc.)Ability to go from research to production-quality codeInterest in building practical systems with real-world adoptionNice to have:Experience with large-scale distributed training pipelinesExperience with video generation modelsContributions to open source ML librariesPrior work on object-aware editing, inpainting, or compositional models👉 Apply at bonjour@lagon.techCookie SettingsThis website uses cookiesSettingsReject AllAccept AllCookie SettingsWe use cookies to improve user experience. Choose what cookie categories you allow us to use. You can read more about our Cookie Policy by clicking on Cookie Policy below.Essential (required)These cookies enable strictly necessary cookies for security, language support and verification of identity. These cookies can’t be disabled.FunctionalityThese cookies collect data to remember choices users make to improve and give a better user experience. Disabling can cause some parts of the site to not work properly.Performance & AnalyticsThese cookies help us to understand how visitors interact with our website, help us measure and analyze traffic to improve our service.Targeting & AdvertisingThese cookies help us to better deliver marketing content and customized ads.View Cookie PolicySave