refresh

Trending Companies

Trending

Jobs

JobsNubank

Machine Learning Engineer [All Levels]

Nubank

Machine Learning Engineer [All Levels]

Nubank

Brazil, Belo Horizonte; Brazil, Campinas; Brazil, Rio de Janeiro; Brazil, Sao Paulo

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Equity

Free Meals

Commuter Benefits

Mental Health

Life Insurance

Healthcare

Learning Budget

Parental Leave

Home Office Stipend

Gym

Equity

Meals

Commuter

Mental Health

Healthcare

Learning

Parental Leave

Home Office

Gym

Required Skills

Programming

Machine Learning

ML model deployment

Data engineering

Software engineering

About us

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page https://international.nubank.com.br/careers/

ML Engineering at Nubank:

Data Science is essential to every part of the business at Nubank, since Day 1. Most areas of the company use data science to some extent. ML Engineers are key to connecting ML models and ML-enabled systems to the rest of our infrastructure, while making sure that they work properly, delivering value to our customers.

As a Machine Learning Engineer, you’re expected to

  • Interact with other team members to understand how to best apply data science and artificial intelligence to Nubank’s problems;

  • Help monitor and maintain models and ML systems, making sure they are working well as measured by performance, operational and business metrics;

  • Help deploy ML models both in batch and real-time scenarios. This may include building pipelines, constructing features and integrating models to other systems;

  • Help build and maintain tooling and platforms to scale operations across multiple teams;

  • Be familiar with modeling and statistics concepts;

  • Our ideal candidate

  • Has extensive programming experience and is familiar with modern development techniques;

  • Has experience creating, deploying and maintaining ML models and ML-enabled systems using modern frameworks;

  • Understands the most common failure modes in ML-enabled systems and knows how to avoid and/or mitigate those;

  • Is familiar with all stages of the ML model lifecycle, from inception to deployment and steady-state operation;

  • Is familiar with cloud-based services from vendors such as AWS, GCP and Azure.

  • Is familiar with software engineering and architecture principles and how they enable sustainable and maintainable systems;

  • Is familiar with data engineering routines, pipelines and job scheduling frameworks;

  • Is able to navigate complex mathematical and analytical environments when needed;

Our Benefits

  • Chance of earning equity at Nubank

  • Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)

  • Public Transportation Commuting Benefit (Vale-Transporte)

  • Nu Care – Psychological, Financial and Legal Assistance Program

  • Life Insurance

  • Medical Plan

  • Dental Plan

  • Nu Language – Language Course Program

  • Nucleo

  • Our learning platform of courses

  • Extended Parental Leave

  • Daycare Allowance

  • Parental Consultancy

  • Work-from-home Allowance

  • Gym Partnerships

  • 30 days of paid vacation

Work Model for this RoleHybrid 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. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Nubank

Nubank

Nubank

Public

Nubank is a Brazilian neobank headquartered in São Paulo, Brazil. Although it is not formally part of Brazil’s National Financial System, Nubank operates as a financial and payment institution regulated and supervised by the Central Bank of Brazil.

5,001-10,000

Employees

Brazil

Headquarters

$45B

Valuation

Reviews

4.2

19 reviews

Work Life Balance

4.2

Compensation

4.0

Culture

4.5

Career

4.3

Management

3.8

78%

Recommend to a Friend

Pros

Good compensation and salary

Collaborative and supportive team

Remote work flexibility

Cons

Internal competition for promotions

Salary disparities between employees

Limited negative feedback available

Interview Experience

3 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

67%

Experience

Positive 67%

Neutral 33%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Role Interview

4

Final Round Interview

5

Team Matching

6

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Product Strategy

System Design

Culture Fit