AI Research PhD Intern at Block

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 worlds 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. Weve 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 RoleThis 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 Apps Risk AI team starting in Winter of 2025/2026. If youve already graduated (or are set to graduate before May 2026) please apply to one of our full-time roles.This role is for Blocks 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 were 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 WillYou 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 releaseProvide quantitative assessment of the advantages and disadvantages of different model classes based on accuracy precision/recall training cost training time data requirements and interpretabilityExplore the mathematical foundations of various model classes to understand their representational abilityDevelop new algorithms or state of the art models for tasks of interestCommunicate your project status and results frequentlySuccessful outcomes for projects could include production deployments of your models or publication of papers based on your work.You Have1-2 years of experience with applied Deep LearningProven ability to implement in practice neural network architectures described in literature using deep learning frameworks such as PyTorchDemonstrated ability to lead a research project from ideation to publicationClear communication skillsA curious passionate growth-oriented mindsetTechnologies We Use and TeachPython Pytorch Numpy Pandas SQLWere 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 throughout the recruitment process. If you require an accommodation let your recruiter know. Want to learn more about what were doing to build an inclusive workplace Check out our Inclusion & Diversity page.Required Experience:Intern Key Skills Robotics,Machine Learning,Python,AI,C/C++,Data Collection,Research Experience,Signal Processing,Natural Language Processing,Computer Vision,Deep Learning,Tensorflow Employment Type : Intern Experience: years Vacancy: 1