Senior Machine Learning Engineer, Risk Modeling

Block Block · Fintech · CA · Remote · 11003 Risk - Prod Dev - Square

Senior/Staff Machine Learning Engineer focused on risk modeling (fraud, abuse, credit underwriting, BNPL) for fintech products (Cash App, Square). The role involves end-to-end ownership of ML systems, from design to deployment and iteration, with a focus on productionizing ML solutions at scale. Experience with various modeling techniques and influencing technical strategy is required.

What you'd actually do

  1. Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven risk solutions at scale
  2. Own end-to-end machine learning systems — from problem definition and modeling to deployment, monitoring, and iteration
  3. Lead technical decision-making within your workstreams and influence ML strategy and planning
  4. Build tooling and processes that improve the speed, reliability, and impact of the ML development lifecycle
  5. Apply state-of-the-art modeling techniques and third-party data sources to improve detection and decision-making

Skills

Required

  • 8+ 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)
  • Proven experience independently designing, deploying, and maintaining ML solutions in production
  • Strong familiarity with techniques such as tree-based models, deep learning, transfer learning, or reinforcement learning
  • Experience influencing technical direction and collaborating with cross-functional partners at scale
  • Strong communication skills
  • sound judgment
  • an ownership mindset

Nice to have

  • Master’s or PhD preferred
  • Curiosity and alignment with Block’s mission of economic empowerment

What the JD emphasized

  • productionize ML-driven risk solutions at scale
  • Own end-to-end machine learning systems
  • production ML best practices

Other signals

  • production ML
  • fraud detection
  • risk modeling
  • scale