AI Research Intern: Build Scalable Language-Learning ML

Duolingo; Pittsburgh (Allegheny County); On-site; USD 92,000 - 95,000; Full time

Benefits offered by this job

Language learning opportunities

Catered in-house meals

Hackathon

PTO and holidays

Job summary

Duolingo is seeking a PhD student to join our AI internship program in Pittsburgh or New York. You will apply AI methods to large datasets, prototype models, and collaborate with world-class researchers and engineers to deliver product features and publish findings.

The role requires pursuing a PhD with graduation expected by August 2028, and a portfolio of impactful AI work. The internship runs for 12 weeks (May 24, 2027 – August 13, 2027 or June 14, 2027 – September 3, 2027) with in-house

Qualifications

• Pursuing a PhD in artificial intelligence, machine learning, natural language processing, or related field.
• Graduation expected by August 2028.
• Contributions to research communities and conferences (ACL, CVPR, EDM, ICML, NeurIPS, etc.).
• Portfolio of publications or AI internships.
• Experience implementing AI systems in Python, Java, Scala, or C/C++.

Responsibilities

• Apply AI methods to massive real-world datasets.
• Prototype new models and evaluate with small-scale experiments.
• Collaborate with researchers, engineers, and others to build product features or publish findings.
• Solve ambitious problems with the right tool for the task.
• Collaborate cross-functionally to bring ideas to life in the product.

Skills

Python

Java

Scala

C/C++

Debugging

Critical thinking

Education

PhD in AI/ML/NLP

Job description

Duolingo is seeking a PhD student to join our AI internship program in Pittsburgh or New York. You will apply AI methods to large datasets, prototype models, and collaborate with world-class researchers and engineers to deliver product features and publish findings.

The role requires pursuing a PhD with graduation expected by August 2028, and a portfolio of impactful AI work. The internship runs for 12 weeks (May 24, 2027 – August 13, 2027 or June 14, 2027 – September 3, 2027) with in-house