Below you can find more information about the team we’re hiring for:
Duolingo Score is how we reflect a learner’s real language proficiency back to them. As a backend engineer on this small, high-impact team, you’ll help make learners care about their score as much as they care about their streak. You’ll partner closely with the Score Pillar’s product and design team and our iOS and Android engineers, working on the systems that power score calculation, proficiency modeling, and how score surfaces across the app — including integrations with external platforms like LinkedIn, so learners can showcase their proficiency beyond Duolingo.
Duolingo’s Monetization pillar builds the systems that fund our mission — from subscription packaging and advertising to ML-powered personalization. As a Backend Engineer on the Ads team, you’ll work on a product engineering team responsible for growing and scaling Duolingo’s ads business: high-quality ads that delight learners, fit seamlessly into the product experience, and meaningfully contribute to our bottom line. The team owns ad serving, mediation and demand, in-product ad formats and surfaces, and more. You’ll work cross-functionally with product, design, data science, machine learning, and ad operations.
The Observability team builds infrastructure and tools that give engineers confidence and clarity at Duolingo scale. We create monitoring, alerting, and debugging experiences that help teams ship faster and respond to incidents effectively. In this team, you’ll build instrumentation frameworks, deploy telemetry infrastructure, design dashboards, and connect signals to catch issues before they impact learners. We’re looking for engineers passionate about developer experience and reliability.
As a member of the AI Tooling and Ecosystem Team, you will be responsible for developing and maintaining tools and services that power Duolingo’s use of AI in the product. You will design systems for managing datasets, evaluating the performance of AI models, and building AI workflows. You will help shape how Duolingo builds features using AI, enabling teams to easily define quality metrics, combine human and AI feedback, and compare model performance across different use cases.