Staff AI Research Engineer
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!
What this role actually needs.
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! Responsibilities: - 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 bandit 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 Monetization leadership group. - Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects. - Mentor team members, providing guidance and support in their professional development. Company context: Duolingo is the public language-learning platform applying ML, gamification, and data science at consumer scale.
Day-to-day expectations
Duolingo lists these responsibilities for the Staff AI Research Engineer role.
- 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 bandit 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 Monetization leadership group.
- Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects.
- Mentor team members, providing guidance and support in their professional development.
Why this listing is more than a copied job post.
Staff AI Research Engineer is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Compensation read
The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.
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Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
On-site roles in Pittsburgh should be compared against commute, local salary bands, and nearby employer demand.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
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Apply through the employer source
Open the source listing from careers.duolingo.com, confirm the role is still active, then apply on the employer or ATS page.
Source: careers.duolingo.com · Source ID: 8525406002 · Confidence: 89/100 · Last checked: May 7, 2026
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