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Staff+ Software Engineer, Account Abuse (Machine Learning)

Anthropic· Safeguards (Trust & Safety)
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Hybrid (San Francisco, CA), Hybrid (New York City, NY)$320k - $485kFull-timePosted 3w ago

About the role

Software engineer role focused on building machine learning systems to detect and prevent account abuse at scale, with emphasis on production-ready features, measurement, and safe rollout.

Responsibilities

  • Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval
  • Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online
  • Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation
  • Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation
  • Work with data scientists and Policy & Enforcement team to improve label coverage and quality
  • Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on systems' latency, stability, or overall architecture

Qualifications

  • Proficiency in Python and SQL
  • Experience training machine learning models and deploying them to production
  • Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow)
  • Working understanding of point-in-time correctness and training / serving skew, and how to prevent both
  • Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders

Skills

Required:PythonSQLMachine learning model training and deploymentData pipelines with batch processing (Spark/Beam)Point-in-time correctness and training/serving skewCommunication of technical tradeoffs

Benefits

  • Competitive compensation and benefits
  • Generous vacation and parental leave
  • Optional equity donation matching
  • Flexible working hours
  • Lovely office space
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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