It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
The Role
This opportunity is ONLY open to students who are currently enrolled in a PhD program and can commit to an 8-month term (with a possibility for extension) on Cash App's Risk AI team starting in January/February 2025. If you've already graduated (or are set to graduate before May 2025) please apply to one of our full-time roles.
This role is for Block's AI R&D team, which pursues an ambitious agenda of fundamental and applied research. We are a highly creative group that prefers to solve problems from first principles, while moving quickly. At the moment, we are actively working in the areas of Graph Representation Learning, Sequential Modeling, Explainability, and Sequential Decision Making; and we're looking for candidates with experience in these topic areas. We have shown that these technologies have the power to transform the way that Block detects fraudulent behaviour, and are continuing to invest in them.
You Will
You will be working closely with various team members while driving your own research project. Over the course of your internship you might:
- Develop new, standardized, datasets, either for internal use or for external release
- Provide quantitative assessment of the advantages and disadvantages of different model classes based on accuracy, precision/recall, training cost, training time, data requirements, and interpretability
- Explore the mathematical foundations of various model classes to understand their representational ability
- Develop new algorithms or state of the art models for tasks of interest
- Communicate your project status and results frequently
Successful outcomes for projects could include production deployments of your models, or publication of papers based on your work.
You Have
- 1-2 years of experience with applied Deep Learning
- Proven ability to implement in practice neural network architectures described in literature using deep learning frameworks such as PyTorch
- Demonstrated ability to lead a research project from ideation to publication
- Clear communication skills
- A curious, passionate, growth-oriented mindset
Technologies We Use and Teach
- Python, Pytorch, Numpy, Pandas, SQL
We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page .
Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Check out benefits at Block.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, and TIDAL, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Top Skills
What We Do
Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app, bringing a better way to send, spend, invest, borrow and save to our millions of monthly active users. With a mission to redefine the world's relationship with money by making it more relatable, instantly available and universally accessible.
Why Work With Us
At Cash App, our mission is simple yet ambitious: to redefine the world’s relationship with money by making it more relatable, instantly available, and universally accessible. To make this real, we’re building a team of dreamers, innovators, and risk-takers to break the mold of what a financial brand can be. If that’s you, then come join us.
Gallery
Cash App Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Cash App has always been a distributed team working across timezones and continents. Today, we're remote-first by default, but encourage you to choose how you want to work: from home, one of our offices, or a mix of both.