AI研究经理 - 机器学习
AI Research Manager - Machine Learning
Nu 是拉丁美洲领先的数字银行，为巴西、墨西哥和哥伦比亚的 1.4 亿客户提供服务。公司通过利用数据和专有技术开发创新产品和服务，引领行业变革。
秉承其“对抗复杂性，赋能人们”的使命，Nu 为客户完整的金融旅程提供服务，通过负责任的贷款和透明度促进金融包容性和进步。公司采用高效且可扩展的商业模式，结合低成本服务与不断增长的回报。
Nu 的影响力已获得多项奖项的认可，包括《时代》100 家最具影响力公司、《快公司》最具创新力公司以及《福布斯》全球最佳银行。
访问我们的机构页面 https://www.nu.com/2026-en
关于该职位
作为 AI 研究经理，您将负责 Nubank 机器学习研究议程的运营健康状况和执行情况。这是一个专注于小型高人才密度团队的专职人员管理岗位，与推动科学方向的高级技术负责人紧密合作。
该团队在 1 至 4 个季度的时间范围内进行一系列研究投资。这些工作将转化为 Nubank 未来依赖的生产能力。当前和即将进行的投资包括：
- 下一代 nuFormer 架构：从原始交易序列中学习的专有变压器，用于关键的生产信用决策
- 多任务和多目标建模：一个模型同时服务于多个高影响预测任务
- 训练和推理效率：通过知识蒸馏、量化、稀疏性和并行性，在我们规模下经济地运行最先进的模型
- 因果建模和策略优化：超越预测，转向那些预测应驱动的决策和策略
- 世界模型：能够推理客户完整财务生活的开放式模型
- 推荐系统：扩展至应用事件、参与度和个人化信号的主干
- 嵌入和表征学习：跨银行使用的语义 ID、对比学习和可复用表征
- 实时和持续学习：低延迟推理和随时间适应的模型
您的职责是让卓越的科学成果成为可能：建立研究人员能出色工作的条件、专注力和运营节奏。
地点：美国帕洛阿尔托
您将负责
人员与团队领导力
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查看英文原文
ABOUT NU
Nu is the leading digital bank in Latin America, serving 140 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.
Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns.
Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks.
Visit our Institutional Page https://www.nu.com/2026-en
ABOUT THE ROLE
As AI Research Manager, you will own the operating health and execution of Nubank's ML research agenda. This is a dedicated people-management role for a small, high-talent-density team of world-class researchers, partnering closely with senior technical leads who drive the scientific direction.
The team works on a portfolio of research bets on a one-to-four-quarter horizon. This work compounds into the production capabilities Nubank will depend on. Current and upcoming bets include:
- Next-generation nuFormer architectures: proprietary transformers that learn from raw transaction sequences and power key production credit decisions
- Multitask and multi-target modeling: single models serving many high-impact prediction tasks at once
- Training and inference efficiency: distillation, quantization, sparsity, and parallelism to run state-of-the-art models economically at our scale
- Causal modeling and policy optimization: moving beyond prediction to the decisions and policies those predictions should drive
- World models: open-ended models that reason about a customer's full financial life
- Recommendation systems: extending the backbone to app events, engagement, and personalization signals
- Embeddings and representation learning: semantic IDs, contrastive learning, and reusable representations used across the bank
- Real-time and continual learning: low-latency inference and models that adapt over time
Your job is to make exceptional science happen: build the conditions, focus, and operating rhythm that researchers do great work.
Location: Palo Alto, US
YOU'LL BE RESPONSIBLE FOR
PEOPLE & TEAM LEADERSHIP
- Lead, mentor, and advocate for a team of world-class ML researchers, fostering an environment of psychological safety, high ambition, and rigorous scientific inquiry.
- Own the operating health of the team, including performance, career growth, hiring, and compensation cycles for elite individual contributors who often operate at staff-and-above technical depth.
- Attract and retain top-tier research talent in a competitive market, and build a reputation for the team as a place the best researchers want to be.
RESEARCH OPERATIONS & EXECUTION
- Own the operating cadence of a portfolio of two-to-three concurrent, quarter-scale research bets, from problem framing and OKRs through progress tracking and clear go/no-go decisions.
- Allocate scarce, high-value resources, most notably GPU capacity, across competing research priorities, balancing exploration against the bets most likely to compound.
- Protect deep-focus research time. Sustaining a long-term agenda in a fast-moving company means deliberately creating the space for rigorous, multi-quarter work, so the team can pursue ambitious bets instead of being fully absorbed by short-term applied demands.
- Raise the bar on research rigor and communication: strong experimental design, peer review, and reproducibility.
- Cultivate the team's standing in the broader research community. Real-world impact is our primary measure of success, but we actively encourage publishing, open-source contribution, and conference presence that build a reputation reflecting the quality of the work and help attract the best researchers.
STRATEGY & CROSS-TEAM COLLABORATION
- Partner closely with senior technical leads who drive architecture and scientific direction, aligning operational execution with the long-term research roadmap so that scientific and operating decisions reinforce each other.
- Ensure clean handoffs from research into production, so breakthrough results land reproducibly in the hands of applied teams rather than stalling as one-off experiments.
- Translate complex, frontier technical progress (training efficiency, causal inference, novel architectures) into clear, high-impact narratives for executive leadership, connecting research milestones to business outcomes.
- Bridge foundational research and long-term business strategy, ensuring the team's technical inputs directly enable Nubank's AI-first direction.
WE ARE LOOKING FOR A PERSON WHO HAS
You are an experienced research or engineering manager working at the intersection of cutting-edge AI research and Applied ML. You lead brilliant, highly autonomous researchers without micromanaging, and you know what it takes to sustain an ambitious, long-horizon research agenda inside a fast-moving company. You measure your success by what your team ships and discovers, not by your own keystrokes.
BASIC QUALIFICATIONS:
- Experience: 3+ years of direct people-management experience leading applied AI research or core machine learning teams at big tech companies, frontier labs, or comparable high-scale environments.
- Education: M.S. or Ph.D. in Computer Science, Machine Learning, Applied Mathematics, or a related quantitative field, with a strong working understanding of core AI methodologies.
- Track record: Proven ability to build, scale, and retain high-performing research or advanced applied-science teams.
PREFERRED QUALIFICATIONS:
- Technical depth: This is a management-first role, but deep conceptual familiarity with at least one of our core research areas is highly valued:
Foundation models & LLMs: pre-training from scratch, scaling laws, training-optimization frameworks, and large GPU-cluster workflows.
Behavioral & sequential models: sequence models, recommendation systems, and large-scale representation learning for very large user bases.
Decisioning & optimization: causal inference, policy optimization, constrained optimization, or reinforcement learning.
Training & inference efficiency: model sparsification, quantization, distillation, or parallelism and partitioning design.
- Communication: Exceptional storytelling skills, with a track record of translating complex technical milestones into business impact for senior and C-level audiences.
- Environment: Experience operating in global, distributed teams and navigating the path from foundational research to scalable, production-grade systems.
WHY THIS ROLE
This is a rare chance to lead frontier AI research with a clear, compounding mission: building the intelligence layer of one of the world's largest digital banks. You'll work alongside strong ML researchers, with the data, compute, and executive backing to pursue genuinely ambitious bets, and to see those bets reach more than 130 million customers.
LOCATION
Palo Alto, United States
OUR BENEFITS
- Total compensation includes base salary, RSUs and benefits. Base salary: $324k
- Opportunity of earning equity at Nu
- Medical Insurance
- 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
- Work-from-home Allowance
- Relocation Assistance Package, if applicable.
WORK MODEL FOR THIS ROLE
Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
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.