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Nu invites PhD students to join the AI Core Summer Internship Program, a 12-week research-focused internship. Interns collaborate with engineers, applied scientists, and researchers on challenging AI problems and lead an end-to-end project blending research with large-scale production.
The program provides a dedicated mentor, access to big data and compute, and opportunities to present to leadership, with exposure to ML, LLMs, and responsible AI.
Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.
Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.
Visit our Institutional Page https://www.nu.com/2026-en
The Nu AI Core Summer Internship Program is a research-focused internship for PhD students working at the frontier of artificial intelligence and machine learning.
Over about 12 weeks, interns collaborate with engineers, applied scientists, and researchers on complex AI challenges. Each intern leads an end-to-end research or applied AI project that combines research methods with large-scale production environments.
The program builds long-term relationships between industry and academia and with emerging AI research talent.
Interns may work on projects related to:
Projects typically combine research experimentation with applied system development, including model design, experimentation, and large-scale evaluation.
This program targets PhD students conducting research in AI and machine learning who are interested in applying their work to real-world systems.
Applicants are typically pursuing a PhD in fields such as:
Strong candidates may also demonstrate:
We are particularly interested in candidates who demonstrate:
Remote, but only for USA PhD students
Our recruitment process may involve the use of artificial intelligence-enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.
To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here https://script.google.com/a/macros/nubank.com.br/s/AKfycbwvrewE58oGSbRWIVv8CyCWN68GLxpPVsfYYXv-ZHg94QFsTJmi82rF1x0yt-OTs2W0DQ/exec