About the Role
<h2><strong>About the role</strong></h2><p style="min-height:1.5em">Linkup is the web search engine built for AI. Our infrastructure crawls, indexes and serves the live web to AI agents, and it’s scaling fast.</p><p style="min-height:1.5em">We’re looking for a top‑tier <strong>Machine Learning Engineer</strong> to join Linkup and work hand‑in‑hand with our CTO, <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/denis-charrier/">Denis Charrier</a>, and the rest of the tech team.</p><p style="min-height:1.5em">Your core responsibilities will be to:<br />Design, train and ship ranking and retrieval models for AI agents</p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Design, train and ship ranking and retrieval models for AI agents</p></li><li><p style="min-height:1.5em">Bring new ranking signals into the engine, beyond pure relevance</p></li><li><p style="min-height:1.5em">Build the evaluation framework that tells us what really improves search quality</p></li><li><p style="min-height:1.5em">Optimize model serving for latency and GPU cost</p></li><li><p style="min-height:1.5em">Turn customer and benchmark feedback into ranking improvements, with clear before/after numbers</p><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div></li></ul><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><h2><strong>Requirements</strong></h2><p style="min-height:1.5em">You’re a great match if you:</p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Are excited to help build Google for AI agents- and believe in <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.notion.so/Join-Linkup-9a304f74df4544bf83d9b23c3b31b699?pvs=21">Linkup’s mission</a></p></li><li><p style="min-height:1.5em">Have strong hands-on experience in information retrieval, ranking or search in production.</p></li><li><p style="min-height:1.5em">Build rigorous evals and check the data behind every number</p></li><li><p style="min-height:1.5em">Care about latency, cost and reliability as much as model quality</p></li><li><p style="min-height:1.5em">Thrive in a fast-paced, high-ownership startup environment</p></li></ul><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><h2><strong>Example Projects</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Ship a new ranking model to production and prove the gain on our eval sets</p></li><li><p style="min-height:1.5em">Push our models to the next level: better answers, lower latency, lower cost per query</p></li><li><p style="min-height:1.5em">Build and maintain the evaluations framework that measures every change to our search engine</p></li></ul><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><h2><strong>Our Stack</strong></h2><p style="min-height:1.5em">Python, PyTorch, Hugging Face, vLLM, Ray, Spark / Databricks, Vespa, Kubernetes, GitHub Actions, Terraform</p><p style="min-height:1.5em"></p><h2><strong>Details</strong></h2><p style="min-height:1.5em">The ideal candidate will play a central role in our engineering team, partnering closely with the founders. The models you ship will decide what thousands of AI products read every day.</p><p style="min-height:1.5em">We offer a flexible remote‑work policy- see the details <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.notion.so/Linkup-Remote-Work-Policy-d593322ac4c84988b1c7c327d6c4d39e?pvs=21">here</a>.</p><p style="min-height:1.5em">Join us and leverage your expertise to push the boundaries of AI!</p><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><h1><strong>About Linkup</strong></h1><div style="min-height:1.2em;margin-top:0px;margin-bottom:0px"> </div><p style="min-height:1.5em"><strong>Our Vision</strong></p><p style="min-height:1.5em"><strong>We believe in a future of AI agents and the agentic web</strong>. 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.</p><p style="min-height:1.5em"><strong>AI agents need web search</strong>. 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.</p><p style="min-height:1.5em"><strong>Modern web search is built for humans, not AIs</strong>. 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.</p><p style="min-height:1.5em"><strong>Web 2.0 is sunsetting</strong>. 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.