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AI Research Manager - Machine Learning
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Nubank·Palo Alto·20 июля

AI Research Manager - Machine Learning

🏢 ОфисMiddleПолная занятость
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Наша компания

Nu is the leading digital bank in Latin America, serving 135 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.

Чем предстоит заниматься

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
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

Наши требования

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
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

Мы предлагаем

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
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

Дополнительно

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
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
N
Nubank
Palo Alto

ГрейдMiddle
ЗанятостьПолная занятость
РегионСША
ФорматОфис
ИсточникСкрыто
Опубликовано20 июля
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