Nu AI Core Summer PhD Research Internship
关于 NU Nu 服务于140多万客户，以打击复杂性和赋予人权的使命为导向。该公司一直在通过创新产品和以人类为中心的服务带来行业转型。拥有规模技术和数据的 Nu 数字平台，旨在促进财务获取，进步和透明度。其商业模式以客户爱和低成本发展，推动增长和利能力的飞轮。访问我们的机构页面 https://www.nu.com/2026-en ABOUT THE PROGRAM 诺亚人工智能核心夏季实习计划是针对在人工智能和机器学习的边界工作的博士生进行研究专注的实习。大约12周内，实习生与工程师，应用科学家和研究人员合作解决复杂的 AI 挑战。每个实习生领导一个端到端的研究或应用 AI 项目，该项目结合了大型生产环境中的研究方法。该计划建立了工业和学术界以及新兴的人工智能研究人才之间的长期关系。程序结构 - 持续时间：~ 12 周 - 开始日期：5 月~ 6 日，符合美国大学日历 - 地点模型：远程，在谷的 NU 巴洛阿尔托办事处进行一周个人访问，我们完全覆盖。你所获得的 - 专业研究导师 - 拥有一个有范围的人工智能研究项目 - 获取大型数据集和计算基础设施 - 研究谈话和技术研讨会 - 最后向领导和人工智能团队提出研究报告 RESEARCH AREAS 实习生可能与以下相关项目合作：- 机器学习和深度学习 - 大型语言模型和生成性 AI - 推系统和排名模型 - AI 基础设施和模型优化 - 负责的人工智力和模型评估 项目通常结合研究实验与应用系统开发，包括模型设计，实验和大规模评估。候选人资料 本计划针对在人工智能和机器学习领域进行研究的博士生，他们有兴趣将他们的工作应用于现实世界系统。申请者通常在以下领域获得博士学位：计算机科学 - 机器学习 - 人工智力 - 数学 - 数学-计算语言学 - 电气工程 - 或相关数量学科。基础资格 （应用/查筛选器）- 目前注册于一个专业。
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ABOUT NU
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
ABOUT THE PROGRAM
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.
PROGRAM STRUCTURE
- Duration: ~12 weeks
- Start dates: May–June, aligned with US university calendars
- Location model: Remote, with one in-person week at Nu's Palo Alto office in Silicon Valley, fully covered by us.
What you get
- Dedicated research mentor
- Ownership of a scoped AI research project
- Access to large-scale datasets and compute infrastructure
- Research talks and technical seminars
- Final research presentation to leadership and AI teams
RESEARCH AREAS
Interns may work on projects related to:
- Machine learning and deep learning
- Large language models and generative AI
- Recommender systems and ranking models
- AI infrastructure and model optimization
- Responsible AI and model evaluation
Projects typically combine research experimentation with applied system development, including model design, experimentation, and large-scale evaluation.
CANDIDATE PROFILE
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:
- Computer Science
- Machine Learning
- Artificial Intelligence
- Statistics
- Mathematics
- Computational Linguistics
- Electrical Engineering
- or related quantitative disciplines.
BASIC QUALIFICATIONS (APPLICATION/ SCREENING FILTERS)
- 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
PREFERRED QUALIFICATIONS
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
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
- 401K
- 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 https://script.google.com/a/macros/nubank.com.br/s/AKfycbwvrewE58oGSbRWIVv8CyCWN68GLxpPVsfYYXv-ZHg94QFsTJmi82rF1x0yt-OTs2W0DQ/exec