Staff+ Software Engineer, Account Abuse (Machine Learning)

Highlights

• Build ML systems that detect and stop account abuse at scale.
• Make backtesting and shadow deployment the default path to production.
• Partner with Policy & Enforcement to improve label quality and coverage.

What they offer

• Equity donation matching
• Generous vacation
• Parental leave
• Flexible working hours

Ideal candidate

Adversarial thinker who anticipates abusers' moves and cares about robust, precise production ML where false positives lock out real customers. Motivated by making powerful AI systems safer for society.

Requirements

• Proficiency in Python and SQL
• Experience training machine learning models and deploying them to production
• Experience building data pipelines with a batch processing engine and a workflow scheduler
• Working understanding of point-in-time correctness and training/serving skew
• Strong communication skills and ability to explain tradeoffs to non-technical stakeholders