320K–485K USD / year
Staff+ Software Engineer, Account Abuse (Machine Learning)
Machine learningHybrid — San Francisco, CA | New York City, NY
Published on 2026-09-29
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About this role
As a Staff+ Software Engineer on the Account Abuse team, you will build machine learning systems to detect and prevent account-level abuse and fraud at scale. The position requires building production systems that ensure reliability and measurement precision.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
The team
Account Abuse team
Stack
PythonSQLSparkBeamAirflow
What you'll do
- Build and operate a feature computation platform
- Train, evaluate, and deploy models that detect abuse
- Automate the model development lifecycle
- Implement backtesting and shadow deployments
- Collaborate with data scientists to improve label quality
What we're looking for
- Proficiency in Python and SQL
- Experience in training and deploying ML models
- Experience building data pipelines
- Understanding of training and serving skew
- Strong communication skills
Nice to have
- Experience with feature platforms like Chronon or Feast
- Stream processing experience
- Experience with tree-based models
- Experience in spam or fraud detection