Staff AI Research Engineer, Speech Recognition

New York, NYfull timeOn Site

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senior

$221k–$331k

H1B: yes

Duolingo Staff AI Research Engineer at Duolingo focusing on speech recognition, responsible for developing and training speech models and neural networks. The role includes collaboration with cross-functional teams, mentoring, and driving strategic decisions in speech AI.

Responsibilities

We are looking for an experienced AI Research Engineer to join our Speech team. The ideal candidate will have a proven track record as an AI research engineer, with experience across various machine learning techniques, and a particular focus on speech modeling: ASR, TTS, speech-to-speech models, audio tokenization, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, benchmarks and evaluations, deployment, and monitoring. On the Speech team, we’re training custom models to understand the speech of non-native learners, working closely to support product teams working on features like Video Call and the learning path.
Join 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 speech models and large-scale neural network models.
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 Speech leadership group.
Stay up-to-date with the latest developments in machine learning, particularly in speech models, 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 learning solutions.

Qualification

Advanced degree in Computer Science$220

Required

Proven experience as an AI research engineer, for example, in speech recognition, TTS, LLMs, or related fields.
Strong background in training and fine-tuning large models in an applied setting.
Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience.
Excellent leadership and communication skills, with the ability to manage and inspire a team.
Deep understanding of machine learning concepts, frameworks, and best practices.
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
$220,800—$331,200 USD