Research Scientist, Educational AI & NLP - Global Impact

The Briefed

New York (NY)

On-site

USD 138,000 - 186,000

Full time

9 days ago

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Benefits offered by this job

Competitive equity grants
Catered meals and language learning
Healthcare coverage
Hackathon, PTO & holidays

Job summary

Duolingo is seeking a Research Scientist to apply cutting-edge ML and AI methods to our learning products. You will collaborate with software engineers, product managers, and designers to identify high-impact educational problems, prototype algorithmic solutions, evaluate ROI, and deploy production ML models at global scale.

You will publish research breakthroughs and share findings with the internal teams and the broader AI research community, while onsite in New York, NY or Pittsburgh, PA.

Qualifications

  • Ph.D. in Computer Science or related quantitative field (or expected by August 2027).
  • Strong publication record in top ML/NLP conferences or open-source contributions.
  • Hands-on coding and debugging in modern ML frameworks (Python).

Responsibilities

  • Applied R&D & Prototyping using ML/NLP/generative AI to personalize learning outcomes.
  • Production scalability: deploy production ML models for millions of learners.
  • Cross-functional execution with Product, Engineering, and Design teams.
  • Publish research breakthroughs to internal teams and the broader AI community.
  • Data-driven evaluation to assess model performance and ROI.

Skills

ML frameworks: PyTorch/TensorFlow
Python programming
Research portfolio

Education

Ph.D. in Computer Science

Tools

PyTorch
TensorFlow

Job description

Duolingo is seeking a Research Scientist to apply cutting-edge ML and AI methods to our learning products. You will collaborate with software engineers, product managers, and designers to identify high-impact educational problems, prototype algorithmic solutions, evaluate ROI, and deploy production ML models at global scale.

You will publish research breakthroughs and share findings with the internal teams and the broader AI research community, while onsite in New York, NY or Pittsburgh, PA.

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