Senior Machine Learning Engineer

2 weeks ago

Oakland, United States Block Full time

Company Description
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 47 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.
Check out our locations, benefits, and more at cash.app/careers.
Job Description
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. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day. Check out our Machine Learning / AI blog here
This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams - here are the workstreams we're currently hiring for:
Underwriting and Credit
Our mission is to redefine credit and liquidity through simple, fair, and accessible credit solutions that build financial health and resilience.
You Will:

  • Build and integrate ML solutions for evaluating customer cash flow risk including risk of default on credit obligations, risk of fraud & abuse of loans and other situations where Cash app advances funds or provides liquidity to customers
  • Support multiple products across 4+ workstreams in Cash
  • Empower teams to understand the financial performance of origination cohorts, optimize our automated decisioning pipeline using AI/ML, and help identify new opportunities for growth in our customer base
  • Experiment with various modeling techniques on our comprehensive customer data and see your solution through to production by partnering cross-functionally with finance, product, and engineering teams


Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree is preferred
  • 6+ years of experience in machine learning, data analysis, or a related field
  • Strong knowledge of machine learning algorithms and data analysis techniques
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders
  • Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)
  • MySQL, Snowflake, GCP/AWS and Tableau


Qualifications

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree is preferred
  • 6+ years of experience in machine learning, data analysis, or a related field
  • Strong knowledge of machine learning algorithms and data analysis techniques
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders
  • Python (NumPy, Pandas, sklearn, xgboost, TensorFlow, keras, etc.)
  • MySQL, Snowflake, GCP/AWS and Tableau

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