
Posted a day ago
Senior Machine Learning Engineer
BlockSenior Machine Learning Engineer, Risk Modeling
Requirements
8+ years industry experience in ML or applied AI, Bachelor's degree in a quantitative field, Experience deploying ML solutions in production, Knowledge of tree-based models or deep learning
Skills
PythonPyTorchTensorFlowAWSGCPMachine Learning
About the role
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 to deployment and monitoring
- Lead technical decision-making and influence ML strategy and planning
- Build tooling and processes to improve the ML development lifecycle
- Apply state-of-the-art modeling techniques to improve detection and decision-making
- Investigate emerging fraud, abuse, and risk patterns to inform product safeguards
- Collaborate with ML platform teams to ensure models operate reliably in real time
Requirements
- 8+ years of industry experience in machine learning or applied AI
- Bachelor’s degree in a quantitative field (Computer Science, Engineering, Statistics, Physics, or Applied Math)
- Proven experience designing, deploying, and maintaining ML solutions in production
- Familiarity with tree-based models, deep learning, transfer learning, or reinforcement learning
- Experience influencing technical direction and collaborating with cross-functional partners
About the Company
Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Our brands include Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto.
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Block · San Francisco
