Senior Machine Learning Engineer, Risk Modeling
About The Position
Block is seeking Senior and Staff Machine Learning Engineers to join its Risk Machine Learning organization. This group applies ML at a large scale to detect, prevent, and reduce fraud and abuse across Cash App and Square. The roles support multiple senior-level positions, with team placement determined through a collaborative process based on experience, interests, and business needs. Current team growth areas include fraud & abuse prevention, merchant risk, credit underwriting (consumer & commercial lending), buy-now-pay-later decisioning, AI-powered customer support & conversational AI, agentic automation for investigations, and model risk governance. The work directly protects the ecosystem, reduces financial loss, and enables safe, seamless financial experiences for millions of customers, sellers, and families.
Requirements
- 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, and an ownership mindset
- Curiosity and alignment with Block’s mission of economic empowerment
Nice To Haves
- Master’s or PhD preferred
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 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
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
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What This Job Offers
Job Type
Full-time
Career Level
Senior
