Startups · AI

AI Research Manager - Machine Learning

Nubank · Palo Alto · Remote

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About Nubank

Backed by Sequoia, Founders Fund and Redpoint.

About the role

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.

What they're looking for

  • 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
More about this role

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

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...

Read the full posting on Nubank's site ↗

Machine Learning

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