AI role · Open offer

ML Intern — vagas Nubank early careers

Nubank

Internship
Junior
ML platform
Hybrid
São Paulo, SP, Brazil · Hybrid
São Paulo, Brazil
Competitive internship (BRL)

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

3 skills2 tools

At a glance

How you'll work, where, and key listing dates.

Employment: Internship
Workplace: Hybrid
Location: São Paulo, SP, Brazil · Hybrid
Compensation: Competitive internship (BRL)
Experience level: Junior
Team: ML platform
Benefits & perks

About this role

What the team is looking for and how this position fits.

Nubank is hiring a Junior ML Intern — vagas Nubank early careers on the ML platform team (Hybrid · São Paulo, Brazil). This is a hands-on role in ML platform & MLOps—not a generic “AI enthusiast” post.

You will own training, deployment, observability, and cost control end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Nubank early careers — vagas de emprego Nubank / vagas no Nubank internship track in São Paulo.

ML Intern (hybrid SP): learn production ML with mentorship on the ML platform team.

Internship focus

Support feature pipelines and model experiments.
Document learnings and present to the team.

Stack & environment

Python, SQL, Jupyter, Git.

What we look for

CS/stats coursework; Brazil internship eligibility.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
Machine Learning

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

JupyterTool
Regular use of Jupyter in the ML platform & MLOps stack—configuration, debugging, and team conventions.
GitTool
Regular use of Git in the ML platform & MLOps stack—configuration, debugging, and team conventions.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Coursework/projects in ML, SQL, or fintech analytics.
Several of these show up in recent shipped work—not only on your CV: Python, SQL, Machine Learning, Jupyter, and Git.
You are early-career but can point to one end-to-end project (course, internship, or OSS) with honest metrics and what you would improve next.
You are comfortable with the hybrid rhythm (Hybrid · São Paulo, Brazil)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: Competitive internship (BRL), benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Coursework/projects in ML, SQL, or fintech analytics.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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