Senior Staff Machine Learning Scientist - Shopping

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
- Strong problem-solving skills, with expertise in ML methodologies
- 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, C++).
- Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, , etc.
- 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 experience 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

Our Benefits

• Opportunity to earn equity at Nu
• Medical Insurance
• Dental and Vision Insurance
• 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