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Senior AI Engineering Manager

Duolingo - New York, NY

Posted Jun 9, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

Median wage (BLS OEWS)
$116,543 national median
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

137% above the BLS national median for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Senior AI Engineering Manager New York, NY 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 Engineering Manager to join our Duolingo Language Learning team. The ideal candidate will have a proven track record leading multidisciplinary teams, including AI research engineers. They will have extensive experience across various machine learning techniques, including large language models, personalization, recommender systems, and experimentation. They will be comfortable working at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Language Learning team, we're building the AI systems that support the core learning features of Duolingo, improving the learning experience and helping our learners build healthy, productive habits. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠 You will... -

Read the full description at careers.duolingo.com. FewerJobs shows a source-linked preview and links to the original posting.

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