# Research Scientist at Linkup > Open job at Linkup in Paris, France. Workplace: On-site. Source: France Dev Jobs, https://francedevjobs.com/jobs/linkup-research-scientist-8x6ryyt Posted 6 November 2025. Last checked on the employer's career site: 10 November 2026. ## Facts - Company: [Linkup](https://francedevjobs.com/companies/linkup) - Location: Paris, France - Workplace: On-site - Employment type: Full-time - French: Not required - Skills: Elasticsearch, GitHub Actions, Java, Kubernetes, LLMs, NestJS, Node.js, PostgreSQL, Python, Terraform - Not mentioned in the job post: salary, visa sponsorship, relocation, where you can apply from ## Job description **About the role** We’re looking for a top‑tier **Research Scientist** to join our tech team. Your core responsibilities will be to: - Lead Research for Linkup - Design and implement state-of-the-art retrieval and ranking systems for AI agents - Prototype, train, and evaluate new models for factual search and multimodal understanding - Build robust research pipelines, develop, deploy, and iterate on experiments end-to-end - Master the technical scope of your domain and raise the bar for scientific and engineering rigor - Collaborate on research roadmaps and drive key modeling and evaluation decisions - Own large cross-functional initiatives from exploration to production - Work autonomously alongside the CTO and the rest of the Software & ML teams - Contribute to a strong research culture through experiment tracking, reviews, and knowledge-sharing ### ### Requirements You’re a great match if you: - Are excited to help build Google for AI agents- and believe in [Linkup’s mission](https://www.notion.so/Join-Linkup-9a304f74df4544bf83d9b23c3b31b699?pvs=21) - Have strong experience in research in information retrieval, computer science or machine learning. PhD is preferred, MS. is a must. (5y of experience minimum) - Bring hands-on experience with LLMs, NLP, embeddings, or information retrieval systems - HNSW and ANNs are second nature to you - Care about performance, reliability, and code quality - Enjoy optimizing performance bottlenecks - Thrive in a fast-paced, high-ownership startup environment ### Example Projects - Train a new embeddings model from scratch - Build and maintain an evaluations framework to measure the progress of our search engine - Design a RL framework to integrate AI preferences into our ranking algorithm ### ### Our Stack - Node.js / NestJS - Python - Java - PostgreSQL - OpenSearch - Vespa - Apache Storm - vLLM - Kubernetes - GitHub Actions - Terraform ### Details The ideal candidate will play a central role in our team, partnering closely with the founders to spearhead groundbreaking products. Your research expertise will shape the future of AI‑powered applications and bring our vision to life. We offer a flexible remote‑work policy- see the details [here](https://www.notion.so/Linkup-Remote-Work-Policy-d593322ac4c84988b1c7c327d6c4d39e?pvs=21). Join us and leverage your expertise to push the boundaries of AI! ### About Linkup **Our Vision** **We believe in a future of AI agents and the agentic web**. These digital entities can create more value for humanity than we ever could alone, but they depend on the internet to operate, collaborate, take action, and gather information. **AI agents need web search**. To perform well, they require information that is current, reliable, and context‑specific—not the diffuse, steadily aging knowledge frozen at their last training cut‑off. **Modern web search is built for humans, not AIs**. Instead of trusted facts, it serves links, ads, and click‑bait. People want visually engaging pages; AI systems need structured truth. An AI can absorb oceans of data, while human attention barely skims the surface. Humans think visually and intuitively; AI reasons in latent space. **Web 2.0 is sunsetting**. The deck is being reshuffled, and the Bing‑Google search oligopoly is crumbling. Indexing ever more pages is no longer the goal; semantically organizing facts for AI systems is. In the coming agentic web, Google’s ad‑driven model has no natural home. **Search for AI must be rebuilt from the ground up**. We are reconstructing the web as a rigorously structured knowledge layer, mapping every concept, entity, and claim into a coherent semantic graph. This foundation delivers verified facts and rich context to AI instantly, unlocking faster reasoning, higher accuracy, and radically more useful answers for everyone. **Humans search Google; AI searches Linkup.** **Our Mission** Reality never stands still, and neither should intelligence. Linkup reconnects language models to a living stream of verified facts, ensuring AIs remain as current and insightful as the world they serve. Our mission is to deliver the world’s freshest, most trusted knowledge to AIs. **Our Culture** Our culture is built on the following values: - **Mission**. We believe we play a critical role in building the agentic web. We are 100% committed to our mission of bringing the reality of the world to AI agents. - **Speed**. We build fast, we build to last. We get things done, well. - **Ownership**. We empower every team member to take ownership of their projects, ensuring they see them through to successful completion. - **Teamwork**. Our strength lies in our unity. We rely on one another and embrace our diversity as a core asset. - **Humility**. We maintain low egos, showing respect for others and continuously learning from their insights and experiences. We expect all team member to take an active role in shaping our company culture. **Our Team** We are small technical team, working shoulder to shoulder to build the web of agents. A bit more about our 3 co-founders: - [Philippe Mizrahi](https://www.linkedin.com/in/philippe-mizrahi/)- Led the development of Lyft’s Autonomous Vehicles marketplace. Previously launched [Amundsen](https://www.amundsen.io/), an open source search engine. - [Denis Charrier](https://www.linkedin.com/in/denis-charrier/)- Founding Engineer at Niland, an audio search company (acquired by Spotify), then Staff Engineer at Spotify. 15y of software development experience. - [Boris Toledano](https://www.linkedin.com/in/boris-toledano-7b53a496/)- Led robotics at Carrefour, after 3y at McKinsey & Co working on public affairs and digital transformation. ## How to apply Apply on the job page, https://francedevjobs.com/jobs/linkup-research-scientist-8x6ryyt: its Apply button opens the employer's own application page. ## More jobs from Linkup - [Machine Learning Engineer](https://francedevjobs.com/jobs/linkup-machine-learning-engineer-5unh2f3): Linkup, Paris, France. Hybrid. Posted 26 October 2026. - [Forward Deployed Engineer](https://francedevjobs.com/jobs/linkup-forward-deployed-engineer-a3a266b): Linkup, Paris, France. On-site. Posted 21 October 2026. - [DevOps Engineer](https://francedevjobs.com/jobs/linkup-devops-engineer-zak6ooo): Linkup, Paris, France. On-site. Posted 21 October 2026. - [Senior Data Engineer](https://francedevjobs.com/jobs/linkup-senior-data-engineer-j1dx7tj): Linkup, Paris, France. On-site. Posted 6 November 2025. - [Senior Full Stack Engineer](https://francedevjobs.com/jobs/linkup-senior-full-stack-engineer-huuoaxo): Linkup, Paris, France. On-site. Posted 3 November 2025.