Speak is revolutionizing language learning through AI technology, having recently achieved a $1B valuation with their Series C funding. As an Applied ML Engineer focusing on LLMs, you'll be at the forefront of developing AI-powered language learning experiences that serve users across 40+ countries. The company has established itself as the top-grossing education app in South Korea and is rapidly expanding globally.
The role involves working on cutting-edge LLM applications in language learning, building personalized lesson systems, and developing knowledge graphs to track learner progress. You'll collaborate closely with content and product teams to create innovative learning experiences and improve assessment mechanisms through synthetic evaluators.
Speak is backed by prestigious investors including Accel, OpenAI, Founders Fund, and Y Combinator. With offices in San Francisco, Seoul, Tokyo, and Ljubljana, the company offers a truly global work environment. The team of 90+ is focused on making language learning accessible to millions, particularly in English, Spanish, and French education.
This position offers an opportunity to make a significant impact on the company's direction during a period of rapid growth. The work environment emphasizes craft, personal growth, and collaboration with admirable colleagues. You'll be joining at a crucial time when individual contributions can substantially influence the company's trajectory.
The role requires strong experience in machine learning engineering, particularly with LLMs, and the ability to think creatively about AI-powered product experiences. You'll be part of a mission to solve the fundamental challenge of language learning - providing consistent conversation practice without requiring a human partner.