Applied Deep Learning Graduate Internship, Block
Master's or PhD
$43.35 - $51 per hour. Salary dependent on location
Financial services ecosystem
Job no longer available
Financial services ecosystem
1001+ employees
Job no longer available
$43.35 - $51 per hour. Salary dependent on location
1001+ employees
Company mission
To create better tools to help everyone access the economy.
Role
Who you are
- 1-2 years of experience with applied Deep Learning
- Proven ability to implement in practice neural network architectures described in literature using frameworks such as PyTorch or Tensorflow
- Experience with advanced techniques like graph embeddings, irregular sequence modeling and time-series forecasting, uncertainty quantification, anomaly detection, and neural ODEs is a big plus
- An appreciation for the connection between the software and models you build and the experience it delivers to customers
- Have a curious, passionate, growth-oriented mindset
What the job involves
- This opportunity is only open to students who are currently enrolled in either a Masters or PhD program and offers an 8-month term (with a possibility for extension) on Cash App's Risk AI team starting in Summer or Fall of 2024
- Machine Learning is an integral part of how we design products, operate, and pursue Cash App's mission to serve the unbanked as well as disrupt traditional financial institutions
- Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence to better understand our customers and offer new products and experiences that can improve their lives
- The objective of this project is to systematically test and validate advanced sequential models (including bi-directional RNN, auto-regressive CNN, transformers, and neural controlled differential equations) on time-series data generated within Cash
- Cash App collects a variety of signals about how our customers interact with the platform - we will determine the best way to make use of these data using state-of-the-art deep learning methods
- Deep sequential models offer the potential to significantly improve our ability to detect fraudulent behaviour while reducing the time-consuming (and hence expensive) process of manual feature-creation and curation
- Models will be benchmarked for automated extraction and detection of fraud patterns within sequential transactional data (e.g. cash in, cash out, p2p, etc)
- Over the course of your term, you will:
- Craft standardized and reusable datasets for consistent benchmarking and testing of sequence models
- 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
- Create a modular and well documented codebase which can be easily used for other sources of sequential data within the Block ecosystem
Our take
Block is a financial services technology company comprising of Square, Cash App, Spiral, TIDAL, and TBD. Its biggest brand, Square, offers hardware and software for small to medium-sized businesses enabling them to manage the entire payment lifecycle. It functions similarly to Shopify and Stripe, but has paired online payment processing with physical devices such as registers, payment terminals, and mobile card readers.
The business was originally founded as Square in 2009 by Jack Dorsey of Twitter fame. Already well-established with SMEs all over the globe, Square has significantly benefited from the increased demand for mobile payment systems. Its order management feature remains a go-to tool for small businesses that otherwise didn't have the proper infrastructure in place when demand for home delivery surged.
Square rebranded as Block in December 2021, with the Square brand name remaining in place for their seller business. The company has since come under fire for its security practices, facing lawsuits in relation to a major breach of CashApp user data, and in 2024 announced plans to reduce its workforce in order to cut costs. Despite these setbacks, there is every chance the business will move past this, though it may take some time to rebuild trust in its product.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Company benefits
- Healthcare coverage (Medical, Vision and Dental insurance)
- Health Savings Account and Flexible Spending Account
- Retirement Plans including company match
- Employee Stock Purchase Program
- Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
- Paid parental and caregiving leave
- Paid time off (including 12 paid holidays)
- Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
- Learning and Development resources
- Paid Life insurance, AD&D, and disability benefits
Company HQ
SoMa, San Francisco, CA
Leadership
Jack Dorsey
(CEO)Having studied at and dropped out of New York University, Jack founded Twitter in March 2006, where he has served as CEO since. He co-founded Square with Jim in February 2009, and has remained its CEO ever since.
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