Senior Staff Machine Learning Scientist

13 Hours ago • 6-10 Years

Job Summary

Job Description

The Senior Staff Machine Learning Scientist will be responsible for driving the Marketplace Business Unit, focusing on the main page and shopping tab experiences within the app. This involves creating a simple and user-friendly purchase journey through product and service recommendations. The role requires strong problem-solving and coding skills, expertise in applying ML methodologies, and experience working with multi-functional teams. The scientist will also contribute to confidential projects in related areas, leveraging Nubank's datasets and optimization techniques to build scalable and reliable ranking and recommendation systems. This includes translating vague business problems into ML formulations, identifying features and model structures, and delivering business impact.
Must have:
  • Bachelor's degree in related field
  • 6+ years of experience in software engineering with an emphasis on ML, Deep Learning, and online experimentation
  • Strong problem-solving skills, applying ML methodologies
  • Experience working with multiple multi-functional teams
  • Expertise in one or more object-oriented programming languages (e.g. Python)
  • Working knowledge of latest ML technologies, and libraries, such as PyTorch
Good to have:
  • 10+ years of experience in ML and building ML models
  • Experience designing and crafting scalable, reliable, maintainable ML solutions
  • Experience with building ranking and recommendation systems in production
  • Experience with translating vague business problems into ML + Optimization
  • Experience owning and delivering a technically challenging, multi-quarter project
  • 3+ years of experience working in a cross-functional/cross-business projects
  • Passion for mentoring engineers
Perks:
  • Remote work with quarterly trips to Sao Paulo
  • 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
  • 401K
  • Saving Plans - Health Saving Account and Flexible Spending Account

Job Details

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 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

Our Benefits

  • 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

 

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