Nu AI Core Summer PhD Research Internship

Nubank•Palo Alto, CA
•Remote

About The Position

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 approximately 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. Intern projects may involve machine learning and deep learning, large language models and generative AI, recommender systems and ranking models, AI infrastructure and model optimization, or responsible AI and model evaluation. Projects typically combine research experimentation with applied system development, including model design, experimentation, and large-scale evaluation. The opportunity is remote for PhD students in the USA, with one fully covered in-person week at Nu's Palo Alto office in Silicon Valley. Start dates are in May–June, aligned with US university calendars.

Requirements

  • Currently enrolled in a PhD program.
  • Research focus in machine learning, AI, statistics, or a related area.
  • Strong programming skills in Python or similar languages.
  • Experience working with machine learning frameworks such as PyTorch or TensorFlow.
  • Experience designing experiments and evaluating models.
  • Experience working with large datasets or training machine learning models.
  • Candidates must be PhD students in the USA for this remote opportunity.

Nice To Haves

  • Publications at top AI/ML conferences or equivalent conferences in related fields, such as NeurIPS, ICML, ICLR, ACL, KDD, RecSys, CVPR, or CIKM.
  • Experience working with large-scale machine learning systems or distributed training.
  • Experience with LLMs, generative AI, or foundation models.
  • Open-source contributions in AI or ML.
  • Experience collaborating in interdisciplinary research environments.

Responsibilities

  • Lead an end-to-end research or applied AI project.
  • Collaborate with engineers, applied scientists, and researchers on complex AI challenges.
  • Conduct research experimentation and applied system development, including model design, experimentation, and large-scale evaluation.
  • Present final research findings to leadership and AI teams.

Benefits

  • Dedicated research mentor.
  • Ownership of a scoped AI research project.
  • Access to large-scale datasets and compute infrastructure.
  • Research talks and technical seminars.
  • Fully covered in-person week at Nu's Palo Alto office.
  • Top Tier Medical Insurance.
  • Top Tier Dental and Vision Insurance.
  • Life Insurance and AD&D.
  • Extended maternity and paternity leaves.
  • Nucleo learning platform of courses.
  • NuLanguage language learning program.
  • NuCare mental health and wellness assistance program.
  • 401K.
  • Health Saving Account and Flexible Spending Account.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service