AI Research Intern: Real-World ML for Global Education (12w)

Pittsburgh Tomorrow; New York, Pittsburgh (NY, Allegheny County); On-site; USD 92,000 - 95,000; Part time

Job summary

Duolingo is seeking a PhD candidate for a demanding AI/ML internship. You will apply methods to large real-world datasets, prototype models, and productionize solutions with a cross-functional team.

You may relocate to Pittsburgh, PA or New York, NY for a 12-week internship lasting May 24, 2027 – August 13, 2027 or June 14, 2027 – September 3, 2027. Ideal candidates have publications in major conferences, strong Python/Java/Scala/C/C++ experience, and a portfolio of AI work.

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 papers at ACL, CVPR, EDM, ICML, NeurIPS, etc.
• Portfolio of impactful work: publications, open-source projects, or AI internships.
• Experience implementing AI systems in Python, Java, Scala, or C/C++ (not just R or MATLAB).
• Creative, interdisciplinary, and entrepreneurial approach to R&D.
• Strong debugging and critical thinking skills.
• 12 week consecutive availability with specific dates.

Responsibilities

• Apply AI methods to massive real-world datasets.
• Prototype new models and evaluate with small-scale experiments.
• Productionize solutions at scale.
• Collaborate with researchers, engineers, and others to build new features or publish findings.
• Solve ambitious problems with appropriate tools and solutions.
• Identify problems, prototype, evaluate ROI, and implement the best solution at scale.

Skills

Python

Java

Scala

C/C++

Education

PhD in AI/ML/NLP

Job description

Duolingo is seeking a PhD candidate for a demanding AI/ML internship. You will apply methods to large real-world datasets, prototype models, and productionize solutions with a cross-functional team.

You may relocate to Pittsburgh, PA or New York, NY for a 12-week internship lasting May 24, 2027 – August 13, 2027 or June 14, 2027 – September 3, 2027. Ideal candidates have publications in major conferences, strong Python/Java/Scala/C/C++ experience, and a portfolio of AI work.