Requirements

7+ years of experience as a software engineer
Strong software engineering foundation with ownership of systems end-to-end
Proficiency in Python and/or TypeScript
Experience building and operating large-scale data pipelines or search/retrieval systems
Familiarity with tools like Spark, Kafka, Flink, data warehouses, and SQL
Prior experience working on engineering for high-severity harms
Comfortable navigating ambiguity and open-ended problem spaces with evolving goals

Nice to Haves

Experience working at the frontier of AI capabilities, integrating new models and APIs
Product-minded approach with focus on user workflows and quick iteration
Pragmatic solution focus, able to ship in low-support environments
Intuition for pain points and workflows of operations and investigative teams
Curiosity about solving complex investigations
Prior knowledge of child-safety-specific challenges such as secure handling of quarantined content and reporting to NCMEC

Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm
Work closely with operators and investigators to design and deliver systems that improve speed, accuracy, and safety
Develop full-stack solutions including UIs, services, and data pipelines
Collaborate with partners across Product Policy, Platform Integrity, Safety Systems, and Research
Contribute to the team’s technical strategy, especially for child safety-related tools and systems
Report on impact using data-driven methods
Adapt quickly in ambiguous, fast-moving environments to deliver reliable tooling for high-severity safety work
Be exposed to sensitive and egregious content as part of the role