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职位Nubank

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

·

2mo ago

福利待遇

Equity

Meals

Commuter

Mental Health

Healthcare

Learning

Parental Leave

Home Office

Gym

必备技能

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/

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关于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

员工数

São Paulo

总部位置

$45B

企业估值

评价

4.0

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

4.3

职业发展

3.4

管理层

4.2

75%

推荐给朋友

优点

Good salary and benefits

Great team culture and inclusive workplace

Learning and growth opportunities

缺点

Heavy workload and overwhelming pace

Work-life balance challenges

High expectations and stress

面试经验

2次面试

难度

3.0

/ 5

时长

21-35周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Hiring Manager Interview

5

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving

Data Analysis