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Cash App

AI Research Scientist

Reposted 2 Days Ago
Remote
Hybrid
8 Locations
Senior level
Remote
Hybrid
8 Locations
Senior level
Design and implement machine learning models to prevent fraud and mitigate risk in Cash App, collaborating across teams to ensure effective solutions.
The summary above was generated by AI

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 role is part of our Block AI R&D team which sits within our Science organization. This team's mission is aimed at developing advanced deep learning based signals and learned representations for ML models. Our team has the mandate to explore, develop and implement alternatives to traditional feature based ML with SOTA and to communicate that work at public venues (e.g. publishing).
You Will

  • Lead the conception, design, and implementation of large-scale experiments to validate novel ideas rapidly and comprehensively.
  • Apply the latest theoretical advancements to enhance existing products, processes, and technologies, ensuring they remain at the forefront of the industry.
  • Engage in the creation of experiments, prototyping, and architectural design, contributing to a diverse range of computer science domains such as machine learning, data mining, natural language processing, and performance analysis.
  • Author and publish research papers that communicate findings to both the team and the broader research community, establishing a significant impact on the field.
  • Contribute to the growth of research initiatives by sharing emerging trends and best practices, fostering a collaborative and innovative environment.
  • Take the lead in defining data structures, frameworks, designs, and evaluation metrics for research solution development, exhibiting autonomy in decision-making.
  • Collaborate with internal and external partners, identifying potential research areas and participating in the development of long-term research strategies.
  • Conduct experiments aligned with research inquiries, employing simulations and prototypes to assess the outcomes of investigations.
  • Refine research methodologies, solidifying hypotheses, and contributing to the evolution of research practices under minimal supervision.


You Have

  • A Ph.D. degree in a quantitative field (computer science, physics, math, etc) with significant experience using and developing machine learning and AI methodologies.
  • Proven experience in conducting research projects with tangible outcomes.
  • A demonstrated history of generating intellectual property within the field. These contributions could take the form of open source software, patents, or refereed publications in venues such as conferences, journals, books, etc.
  • Proficiency in machine learning techniques, data mining, experimental design, and academic publishing.
  • Strong programming skills in languages such as Python, TensorFlow, or PyTorch.
  • Excellent problem-solving abilities and a creative mindset to tackle complex challenges.
  • Effective communication skills to collaborate with cross-functional teams and contribute to the research community.


Technologies We Use and Teach

  • Python
  • NumPy, Pandas, sklearn, xgboost,
  • TensorFlow, Pytorch, keras, etc
  • MySQL, Snowflake,
  • GCP/AWS and
  • Spark


Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:
$228,700 - $343,100 USD
Zone B:
$217,300 - $325,900 USD
Zone C:
$205,900 - $308,900 USD
Zone D:
$194,500 - $291,700 USD
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. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

Top Skills

AWS
GCP
MySQL
Numpy
Pandas
Python
PyTorch
Sklearn
Snowflake
Tableau
TensorFlow
Xgboost

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