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 innovative solutions to complex technical problems , 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
We are looking for an experienced AI Research Engineering Manager to join our Duolingo Language Learning team. The ideal candidate will have a proven track record leading multidisciplinary teams, including AI research engineers. They will have extensive experience across various machine learning techniques, including large language models, personalization, recommender systems, and experimentation. They will be comfortable working at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Language Learning team, we’re building the AI systems that support the core learning features of Duolingo, improving the learning experience and helping our learners build healthy, productive habits. Given the broad set of AI domains, broad experience in AI/ML is highly desirable
Manage a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment
Contribute to the development and training of a variety of machine learning models, including large-scale neural networks
Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives
Participate in and help drive strategic product and business decision-making as a member of the Language Learning leadership group
Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture
Stay up-to-date with the latest developments in machine learning and apply this knowledge to drive advancements in our projects
Mentor team members, providing guidance and support in their professional development
Ensure the delivery of high-quality, scalable, and efficient machine