Staff AI Research Engineer

Duolingo

Pittsburgh (Allegheny County)

Vor Ort

USD 221.000 - 331.000

Vollzeit

vor 28 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Duolingo is seeking an experienced AI Research Engineer to join our Speech team. You will work on speech modeling, ASR, TTS, and large-scale neural networks within a full-stack team, delivering data-driven solutions.

You will collaborate with product teams, mentor colleagues, and help steer strategy in the Speech leadership group, staying current with ML advances to drive product impact. Duolingo offers a collaborative environment with mentorship, experimentation, and opportunities to tackle

Qualifikationen

  • Proven AI research engineer experience in speech recognition or TTS.
  • Experience training and fine-tuning large models.
  • Advanced degree in CS/Engineering or related field.
  • Strong leadership and communication skills.
  • Deep understanding of ML concepts and frameworks.

Aufgaben

  • Join a full-stack team of frontend, backend and AI researchers.
  • Contribute to development and training of speech models and large-scale neural networks.
  • Collaborate with cross-functional teams to align model outputs with company objectives.
  • Participate in and help drive strategic product and business decisions in Speech leadership.
  • Stay up-to-date with ML and speech model advances and apply them to projects.

Kenntnisse

Speech modeling
Large model training
Leadership
ML concepts

Ausbildung

Advanced degree in Computer Science/Engineering or related field

Jobbeschreibung

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.

About the role

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.

You will...
  • 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.
You have...
  • 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.

Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here.

Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com.

Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

AI in Hiring: Duolingo uses AI technology to assist in our hiring process. We want to be transparent about how we use this technology and your rights. We use Greenhouse Software's Talent Matching feature to assist with reviewing applications for the skills and experience we have decided are important for this role.

How it works:

  • Talent Matching reviews your resume and responses to application questions to determine the extent to which your qualifications match the job requirements selected for this role. These requirements and their desired weighting are established by our recruiters in collaboration with hiring managers.
  • All Talent Matching output is reviewed by our recruiting and hiring teams, who make the final decision on each application. Talent Matching does not automatically disposition any candidate or make hiring decisions.

Salary Range:

$220,800 — $331,200 USD

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