# Staff Machine Learning Engineer, Recommendation Systems at Nubank

- Company: Nubank
- What the company does: Backed by Sequoia, Founders Fund and Redpoint.
- Company website: https://www.nubank.com.br/
- Type: Startups (AI role)
- Level: Senior
- Location: Palo Alto
- Work setup: Remote
- Pay: $230K to $345K base salary per year (USD)
- Posted: 2026-08-03
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/nubank/da518919-9017-488b-9c05-9b50f8df8401
- Page: https://www.1752.vc/careers/jobs/nubank-staff-machine-learning-engineer-recommendation-systems/

## About the role

Setting technical direction for recommendation systems, including architecture decisions that other engineers will build on for years. Designing and building production ML systems for retrieval, ranking, and multi-objective optimization that operate at scale and under real latency constraints. You will be hands-on, regularly making coding contributions.

## What they're looking for

- A strong track record building and operating large-scale ML systems in production, ideally recommendation, ranking, or personalization systems
- Experience building modern recommendation systems, e.g., learned embeddings, semantic IDs, sequence models over long user histories, and conversational recommendation systems
- Deep experience with the full ML engineering lifecycle: training, deployment, monitoring, data consistency, experimentation, and governance
- Strong software engineering fundamentals and fluency in Python and/or Scala, or equivalent languages
- Real experience with the operational side of ML: on-call, incident response, debugging systems under load
- A track record of technical leadership, whether that's an official title or just being the person a team leans on for the hard calls

Tags: Machine Learning