AI Research Manager - Machine Learning

Nubank

Hybrid

Quick summary

Work type
Hybrid
Location
Palo Alto, CA
Salary
$324,000–$324,000 / yr
Posted
5 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $224k
This role $324k
$164k most similar roles pay here $341k

This role pays more than 98% of similar roles. Most pay $195,525–$253,300 — the shaded band above. At the midpoint, this role pays about $324k versus about $224k for comparable roles.

Based on 240 similar postings.

Employer

About Nubank

Nubank is one of the world's largest digital financial services companies, offering credit cards, personal loans, savings accounts, and insurance to tens of millions of customers across Brazil, Mexico, and Colombia.

Nubank currently has 11 open roles on FindRole.

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At a glance

TL;DR · AI Research Manager - Machine Learning

As an AI Research Manager at Nubank in Palo Alto, you will lead a high-talent-density team of world-class ML researchers focused on advancing the company's forward-looking research agenda. Your daily responsibilities include managing and mentoring your team to foster psychological safety and rigorous scientific inquiry, allocating resources for concurrent research projects, and ensuring clear communication with executive leadership. You will work closely with senior technical leads to align operational execution with long-term goals, translating complex technical progress into business impact narratives. The role requires experience in leading applied AI or core ML teams at high-scale environments, a strong background in computer science or related fields, and deep conceptual familiarity with areas like foundation models, behavioral models, decisioning optimization, and training efficiency. This position offers the unique opportunity to drive groundbreaking research that impacts millions of customers globally.

What you'll do

  • Lead and mentor a team of world-class ML researchers, fostering an environment of psychological safety and high ambition.
  • Own the operating health of the research agenda, including performance tracking, career growth, hiring, and compensation cycles.
  • Allocate scarce resources like GPU capacity across competing research priorities to balance exploration with long-term bets.
  • Protect deep-focus research time for rigorous, multi-quarter work to pursue ambitious scientific goals.
  • Raise the bar on research rigor and communication, ensuring strong experimental design, peer review, and reproducibility.

What we're looking for

  • 3+ years of direct people-management experience in applied AI research or core machine learning teams.
  • M.S. or Ph.D. in Computer Science, Machine Learning, Applied Mathematics, or related quantitative field.
  • Proven track record of building and scaling high-performing research or advanced applied-science teams.
  • Deep conceptual familiarity with foundation models & LLMs, behavioral & sequential models, decisioning & optimization, or training & inference efficiency.
  • Exceptional ability to translate complex technical milestones into clear business impact narratives for senior leadership.

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