About The Position

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block. The Role We're looking for an experienced Machine Learning Engineer to join our Risk Modeling team, focused on Bitcoin products. This team detects and responds to fraudulent and illicit Bitcoin activity across Cash App and Square. You'll serve as the DRI for Bitcoin risk modeling—building end-to-end strategy, model development across Block's Bitcoin ecosystem. You'll operate with a high degree of autonomy, partnering closely with Product, Engineering, and Compliance to shape how risk and compliance controls scale as we launch new Bitcoin products.

Requirements

  • 7+ years of industry experience in machine learning, applied AI, or related fields
  • Bachelor's degree in a quantitative field (Computer Science, Engineering, Statistics, Physics, Applied Math); Master's or PhD preferred
  • Proven experience independently designing, deploying, and maintaining ML solutions in production
  • Experience influencing technical direction and collaborating with cross-functional partners at scale
  • Strong communication skills, sound judgment, and an ownership mindset
  • Curiosity and alignment with Block's mission of economic empowerment

Nice To Haves

  • Prior experience with Bitcoin or crypto is helpful, but not required

Responsibilities

  • Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven risk solutions at scale
  • Own end-to-end machine learning systems — from problem definition and modeling to deployment, monitoring, and iteration
  • Lead technical decision-making within your workstreams and influence ML strategy and planning
  • Build tooling and processes that improve the speed, reliability, and impact of the ML development lifecycle
  • Apply state-of-the-art modeling techniques and third-party data sources to improve detection and decision-making
  • Investigate emerging fraud, abuse, and risk patterns to proactively inform product safeguards and policy
  • Collaborate closely with ML platform and engineering teams to ensure models operate reliably in real time and at scale
  • Mentor teammates and contribute to a strong, inclusive engineering culture

Benefits

  • 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.
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