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Senior AI Research Engineer

Duolingo - New York, NY, United States - In-office - posted 2026-07-29

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Salary: USD 197,200 - 266,800 / annual

Duolingo is seeking a Senior AI Research Engineer to join the Video Call team, which builds AI systems supporting the core learning mission for half a billion learners worldwide. This role focuses on developing and training machine learning models including large-scale neural networks, speech recognition, and text-to-speech systems that enhance the learning experience and help users build productive habits. You will work within a full-stack team of frontend, backend, and AI research engineers in a collaborative, innovative environment. Key responsibilities include contributing to the development and training of various ML models, collaborating with cross-functional teams to align model outputs with company objectives, and participating in strategic product and business decision-making with the Language Learning leadership group. You will mentor team members on professional development, stay current with latest ML developments, and ensure delivery of high-quality, scalable, and efficient machine learning solutions. Required qualifications include proven experience as an AI research engineer in areas such as LLMs, multimodal modeling, speech, or related fields. You should have a strong background in training and fine-tuning large models in applied settings, an advanced degree in Computer Science, Engineering, or related field with ML/AI focus (or equivalent experience), and excellent leadership and communication skills. Technical depth is essential to guide architecture and implementation trade-offs, evolve quality standards, and mentor engineers on best practices. Deep understanding of machine learning concepts, frameworks, and best practices is required. This is an opportunity to work on meaningful education technology at scale, with mentorship from world-class minds and exposure to a variety of large-scope projects. Duolingo runs 300+ experiments simultaneously with its massive user base to drive data-informed decisions.

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