Senior AI Speech Research Engineer ASR & TTS

Pittsburgh Tomorrow; New York (NY); In loco; USD 221.000 - 331.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity compensation

Descrizione del lavoro

Duolingo seeks an experienced AI Research Engineer to join the Speech team. You will work on speech modeling (ASR, TTS, speech-to-speech), feature engineering, data preparation, training, fine-tuning, and deployment across products like Video Call and learning paths.

You will lead, mentor, and collaborate with frontend, backend, and AI engineers, driving advancements in ML for a massive global user base while aligning outputs with company objectives.

Competenze

• Proven experience as an AI research engineer, e.g., in speech recognition, TTS, LLMs, or related fields.
• Strong background in training and fine-tuning large models in an applied setting.
• Excellent leadership and communication skills with the ability to manage and inspire a team.
• Deep understanding of machine learning concepts, frameworks, and best practices.

Mansioni

• 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 align model outputs with company objectives.
• Participate in strategic product and business decision making as a member of the Speech leadership group.
• Stay up-to-date with the latest developments in ML, especially speech models, and apply this knowledge to drive project advancements.
• Mentor team members and support their professional development.
• Ensure delivery of high-quality, scalable ML solutions.

Conoscenze

AI research engineer experience

Large models training

Leadership and communication

ML concepts & frameworks

Formazione

Advanced ML degree

Descrizione del lavoro

Duolingo seeks an experienced AI Research Engineer to join the Speech team. You will work on speech modeling (ASR, TTS, speech-to-speech), feature engineering, data preparation, training, fine-tuning, and deployment across products like Video Call and learning paths.

You will lead, mentor, and collaborate with frontend, backend, and AI engineers, driving advancements in ML for a massive global user base while aligning outputs with company objectives.