Description du poste
<div class="content-intro"><p>At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined.</p> <p>In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens.</p></div><h4><strong>About the AI Research Team</strong></h4> <p>The AI Research team at Algolia combines <strong>fundamental research</strong> with <strong>product engineering</strong> to deliver customer-facing AI-powered features.</p> <p>The team is highly cross-functional, made up of PhD researchers, full-stack engineers, and infrastructure specialists working together to explore new ideas, validate impact, and bring successful research outcomes into production. While the work is research-driven, the output is real, customer-facing systems.</p> <h4><strong>The Opportunity</strong></h4> <p>We are looking for an <strong>embedded Senior Site Reliability Engineer</strong> to join the AI Research team as a full member of the group. In this role, you will support both the research and product-engineering aspects of the team by ensuring the stability, scalability, and operability of the infrastructure that enables this work.</p> <p>This is a <strong>classic SRE role</strong> focused on <strong>cloud-first, service-oriented architectures</strong> running on Google Cloud Platform. While the team builds AI-powered systems, <strong>AI or ML experien