Protection Scientist Engineer, Integrity

What you'll do

• Set protection strategy and lead cross-functional delivery for a harm area or product launch.
• Build, maintain, and evaluate production detection systems, including signals, classifiers, and pipelines.
• Investigate emerging harms, measure system effectiveness, and improve policies, reviews, interventions, and monitoring.

What they ask for

• Deep expertise in at least one relevant harm domain, such as integrity, trust and safety, security, or investigations.
• Proficiency in SQL and Python, with experience writing reliable, efficient production code for detection and data processing.
• Ability to apply quantitative analysis and machine-learning methods to measure risks and evaluate system effectiveness.
• Experience setting strategy and delivering complex, cross-functional technical projects.

Nice to have

• Additional machine-learning or software-engineering experience.
• Additional data-science or measurement background.

Pay

$198K – $425K USD base salary

Tools

SQL, Python, machine learning, language models

AI focus

Use language models, agents, and other automation to scale detection, analytical, investigative, and operational work, with evaluation and appropriate human oversight.