About Us -
Nubank is the world’s largest digital banking platform outside of Asia, serving over 110 million+ customers across Brazil, Mexico, and Colombia.
Our company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services. Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. For more information, visit our institutional page: https://international.nubank.com.br/careers/
About the role
The Marketplace Business Unit at Nubank owns the main page and shopping tab experiences within the app, aiming to create an incredibly simple and lovable purchase journey powered by assertive product and service recommendations, representing a massive impact area and critical initiative for the rapidly growing organization. To achieve this, the Marketplace ML Team employs a state-of-the-art, ML-driven algorithmic approach, leveraging Nubank's extensive datasets and optimization techniques to build scalable and reliable shopping intelligence ranking and recommendation systems; this team seeks individuals with strong problem-solving and coding skills, a history of learning and growth, and a deep interest in ML model, feature, and infrastructure.
We are seeking a Senior Staff ML Engineer/Scientist to drive this entire area in partnership with the GM for this vertical. In addition to this product area, you will also contribute to additional confidential 0-1 projects in related areas.
Basic Qualifications ----
- Bachelor's degree in Computer Science, Engineering, Mathematics or related field
- 6+ years of experience in software engineering with an emphasis on ML, Deep Learning, and online experimentation with at least some experience in shopping domain.
- Strong problem-solving skills, with expertise applying ML methodologies to the recommendations and personalization domains.
- Experience working with multiple multi-functional teams (product, science, product ops etc).
- Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, Clojure).
- Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, Ray, etc.
- Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone.
Preferred Qualifications ----
- 10+ years of experience in ML and building ML models
- Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods.
- Experience with building ranking and recommendation systems in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
- Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact.
- Experience owning and delivering a technically challenging, multi-quarter project end to end.
- 3+ years of experience working in a cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies
- Passionate about helping junior members grow by inspiring and mentoring engineers
- Remote work, with quarterly trips to sunny Sao Paulo to build relationships with coworkers.
- Top Tier Medical Insurance
- Top Tier Dental and Vision Insurance
- 20 days time off, 14 company holidays, and great culture that emphasizes work life balance.
- Life Insurance and AD&D
- Extended maternity and paternity leaves
- Nucleo - Our learning platform of courses
- NuLanguage - Our language learning program
- NuCare - Our mental health and wellness assistance program
- Extended maternity and paternity leaves
- 401K
- Saving Plans - Health Saving Account and Flexible Spending Account
#LI-Remote
Nubank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nubank and has not been reviewed or approved by Nubank.
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Fair & Transparent Compensation — Compensation is considered competitive, especially for tech roles in Brazil/LatAm, with strong top‑of‑band packages reported for senior and product/design positions. Salaries are often described as good, contributing to broadly positive pay sentiment.
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Equity Value & Accessibility — Equity opportunities (typically RSUs) are widely available across postings and regarded as a meaningful component of total compensation. This equity element strengthens overall packages, particularly for technical and product roles.
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Parental & Family Support — Parental leave is extended and gender‑neutral across countries, with additional childcare support and parental counseling in Brazil. These family‑focused policies enhance the perceived value of the benefits package.
Nubank Insights
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What We Do
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 more than 70 million customers across Brazil, Mexico, and Colombia. As one of the leading technology companies in the world, Nu leverages proprietary technologies and innovative business practices to create new financial solutions and experiences for individuals and SMEs that are simple, intuitive, convenient, low-cost, empowering, and human. Guided by its mission, Nu is fostering access to financial services across Latin America.
