Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding <a href="https://blog.duolingo.com/tag/engineering/?utm_source=greenhouse.com&utm_medium=referral&utm_campaign=engblog_gh_091224">innovative solutions to complex technical problems</a>, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. <hr> About the role... We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we’re building AI systems to improve the learning experience while driving our business, including deploying our research into <a href="https://research.duolingo.com/papers/yancey.kdd20.pdf">bandit models</a> to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠 You will... <ul> <li>Join a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment.</li> <li>Contribute to the development and training of bandit models and large-scale neural network models.</li> <li>Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives.</li> <li>Participate in and help drive strategic product and business decision-making as a member of the Monetization leadership group. </li> <li>Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects.</li> <li>Mentor team members, providing guidance and support in their pro

Staff AI Research Engineer

Job Description