Nubank - Nu AI Core Summer PhD Research Internship
Requirements
• Currently enrolled in a PhD program • Research focus in machine learning, AI, statistics or related areas • Strong programming skills in Python or similar languages • Experience working with machine learning frameworks (e.g., PyTorch, TensorFlow) • Experience designing experiments and evaluating models • Experience working with large datasets or training ML models • Strong candidates may also demonstrate: • Publications at top AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, KDD, RecSys, CVPR, CIKM or equivalent-conferences for related fields) • Experience working with large-scale ML 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 • What We Value • What We Value • We are particularly interested in candidates who demonstrate: • Strong research rigor and experimental methodology • Ability to translate research ideas into practical systems • Track record of identifying novel research directions or reframing existing problems • Intellectual curiosity and independent problem solving • Collaboration with engineers and cross-functional teams • Interest in deploying AI systems with real-world impact
Benefits
• Top Tier Medical Insurance • Top Tier Dental and Vision Insurance • Life Insurance and AD&D • Extended maternity and paternity leaves • Nucleo - Our learning platform of courses • NuLanguage - Our language learning program • NuCare - Our mental health and wellness assistance program • Saving Plans - Health Saving Account and Flexible Spending Account • Location for this opportunity • 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
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