Linkup
Research Scientist
8mo ago
WorldwideSeniorllmsnlpembeddingsinformation retrievalhnswannsmodel trainingexperiment tracking
Lead research and develop state-of-the-art AI retrieval and ranking systems, focusing on information retrieval, LLMs, and multimodal understanding.
About the company
- 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.
- 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 - Led the development of Lyft’s Autonomous Vehicles marketplace. Previously launched Amundsen , an open source search engine.
- 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 - Led robotics at Carrefour, after 3y at McKinsey & Co working on public affairs and digital transformation.
Responsibilities
- 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
- 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
Other
- 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
- Node.js / NestJS
- Python
- Java
- PostgreSQL
- OpenSearch
- Vespa
- Apache Storm
- vLLM
- Kubernetes
- GitHub Actions
- Terraform
- 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 .
- Join us and leverage your expertise to push the boundaries of AI!
- 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.
- 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.