Senior Staff Machine Learning Scientist - Shopping
Senior Staff Machine Learning Scientist - Shopping
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Job Description
About Us
Nubank is the worlds 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. Nus impact has been recognized in multiple awards including Time 100 Companies Fast Companys Most Innovative Companies and Forbes Worlds Best Banks. For more information visit our institutional page: 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 stateoftheart MLdriven algorithmic approach leveraging Nubanks extensive datasets and optimization techniques to build scalable and reliable shopping intelligence ranking and recommendation systems; this team seeks individuals with strong problemsolving 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 01 projects in related areas.
Basic Qualifications
Bachelors 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 problemsolving skills with expertise in ML methodologies
Experience working with multiple multifunctional teams(product science product ops etc).
Expertise in one or more objectoriented programming languages (e.g. Python Go Java C).
Experience with bigdata 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 gogetter 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 deeplearning 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 multiquarter project end to end.
3 years of experience working in a crossfunctional and/or crossbusiness projects partnering with Product Scientists and crossorg leads to shape the teams 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
Required Experience:
Staff IC
Employment Type
Full-Time
