Deep Learning Research Engineer F/M

Deep Learning Research Engineer – Generative AI & Video F/M ContextVeesion develops Deep Learning algorithms applied to video surveillance to detect suspicious gestures related to shoplifting in real time. We process long, noisy, and unsegmented videos captured by in-store cameras under real-world conditions. The RoleWe’re looking for a Deep Learning Engineer to join our R&D team. Your mission: explore, design, and test innovative approaches in computer vision, with an increasing focus on video. Prior video experience isn’t required – we’re looking for a strong researcher who codes effectively. You’ll work autonomously on high-impact scientific projects with significant technical freedom. Generative AI should be second nature in your workflow – for rapid prototyping, code review, documentation, and more. Responsibilities Design and test novel approaches to understand complex human gestures in videoPropose and evaluate Deep Learning architectures adapted to our real-world constraints (noise, duration, label scarcity…) Explore, benchmark, iterate Code efficiently: know where to spend time and where to move fast.Collaborate with other researchers to identify and develop the most promising scientific directions Profile 2 years of experience in Deep Learning (preferably in computer vision) Strong command of Python and PyTorchSolid Deep Learning background (transformers, CNNs, attention, etc.) Ability to formulate hypotheses, structure research, and explore efficiently Comfortable with modern development tools (notebooks, version control, testing, GPU debugging…) Strong habit or interest in using generative AI as a coding copilot Bonus Interest in video or sequential model Experience with time series or sequential dataFamiliarity with video benchmarks (Kinetics, Something-Something, etc.)Why This Role is Unique Real scientific challenge on real-world data, with strong innovation needsMinimal technical constraints, high research freedom Ability to move fast and test ideas with low friction Deep-tech environment with a dedicated R&D teamDetails Position in Paris or full remoteCompetitive salary