> Markdown version of [/jobs/ext/2274993-research-engineer-for-machine-learning](https://www.wearedevelopers.com/jobs/ext/2274993-research-engineer-for-machine-learning). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Engineer for Machine Learning - **Company:** Inria - **Location:** Rocquencourt, France (Remote available) - **Salary:** €32,304.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Nvidia CUDA, Computer Graphics, Python (Programming Language), Pattern Recognition, Systems Development Life Cycle, Pytorch, Large Language Models, Deep Learning, Ray Tracing, Data Generation - **Published:** August 28, 2026 - **Apply:** https://jobs.inria.fr/public/classic/fr/offres/2026-10425 ## About the Role * Education: Master's degree in Computer Science, specializing in Computer Graphics, and Machine Learning for visual computing. Computer Vision education is a plus. * Core Skills: Proficiency in Python, PyTorch, C++, and CUDA for high-performance deep learning and graphics workflows. * Graphics & Physics Expertise: Background in computer graphics (rendering, rasterization, ray tracing, path tracing, mitsuba3). * Advanced Machine Learning skills: Experience with training/fine tuning large models, in particular diffusion models and transformers, automated data generation pipelines, multi-GPU scaling * Experience with use of AI agentic coding frameworks for task automation., The ideal candidate will be familiar with the main concepts of computer graphics and real-time/interactive rendering, and will have experience with development of advanced machine learning systems involving training and fine-tuning of diffusion/flow matching models and transformers, as well as general experience with moderately large software system development. The ability to work and interact well with a team of motivated researchers is essential. The specific background requirements are listed below. ## Description As a Research Engineer on the NERPHYS project, the work will focus on designing, implementing, and scaling the core computational and data infrastructure: * Data Strategy & Infrastructure: Define and deploy automated data collection, synthetic rendering, and validation pipelines tailored for fine-tuning dynamic generative and physical models. * Model Fine-Tuning & Integration: Implement GPU-accelerated training workflows based on physically-based rendering to fine-tune diffusion models and integrate them with implicit/explicit neural scene representations (3DGS/NeRFs) and physical solvers. * Systems & Tooling: Build robust, reusable software abstractions and benchmarking frameworks to support the research team in running reproducible dynamic simulation experiments. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [WeAreDevelopers LIVE - Accessibility isn't magic, Longevity, Devrel in times of AI and more](https://www.wearedevelopers.com/videos/1730-wearedevelopers-live-accessibility-isn-t-magic-longevity-devrel-in-times-of-ai-and-more) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [RTX AI PC: Developing local and edge AI applications](https://www.wearedevelopers.com/videos/100078-rtx-ai-pc-developing-local-and-edge-ai-applications) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers)