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Machine Learning Engineer (Modeling), Risk Identity



17d ago

  • Job
    Senior Level
  • Software Engineering
  • San Francisco
  • Quick Apply

AI generated summary

  • You need a Bachelor's degree with 6+ years of ML experience. Strong skills in algorithms, data analysis, Python, MySQL, GCP/AWS, and excellent communication are essential for this role at Afterpay.
  • You will use machine learning to identify and prevent inauthentic identities in Cash App's ecosystem, ensuring a safe and inclusive financial system for all.


  • 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


  • 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 Cash App's Risk ML team and will be embedded within the Identity workstream. Using machine learning methods and systems, we reduce the prevalence of inauthentic identities in Cash’s ecosystem, provide a first line of defense against bad actors attempting to circumvent our IDV controls while simultaneously building our confidence in existing and new customers' identities. Our goal is to ensure that every individual has access to the financial services they need, regardless of their background or financial history.
  • We believe that ML has the potential to revolutionize the way in which identity verification is conducted, and we are dedicated to constantly improving and refining our solutions to ensure that it remains at the forefront of this rapidly evolving field. By using machine learning for identity verification, we aim to create a safer and more inclusive financial system for all.


What is the primary focus of the Machine Learning Engineer (Modeling) role at Cash App in the Risk Identity team?

The primary focus of this role is to use machine learning methods and systems to reduce the prevalence of inauthentic identities in Cash App's ecosystem, provide a first line of defense against bad actors, and build confidence in existing and new customers' identities within the financial system.


Mission & Purpose

Afterpay is a financial technology company that offers a "buy now, pay later" service, allowing consumers to make purchases and pay for them in four interest-free instalments. Their goal is to provide a flexible and convenient payment solution that helps shoppers manage their finances without incurring debt. By partnering with various retailers, Afterpay aims to enhance the shopping experience and support responsible spending habits. Their purpose is to empower consumers with financial freedom while driving sales for merchants.

Culture & Values

  • We’re brave with our decisions.

  • We keep it real with our actions.

  • We do the right thing for all stakeholders.

  • We shape the future with passion.