Software Engineer, Trust and Safety

Job Description

Posted on: 
April 27, 2022

We are looking for experienced engineers - Machine Learning, Backend, Full Stack, and Data Engineers - to join our Trust and Safety engineering organization. If you are enthusiastic about earning users’ trust, and have experience in the adversarial modeling domain, we want to hear from you!  

In this role, you will build the foundational risk platform and detection models. You will deploy risk management features on our product surface to protect the ecosystem.  You will collaborate closely with our Product, Policy, Operations, Data, Search & Discovery teams.  


  • Design and build scalable risk data infrastructure and detection engine with low-latency capability
  • Design and build platform solutions for human review process, evidence collection, reporting, and more
  • Develop rules and ML models to detect policy violations and identify bad actors
  • Define success metrics, design and conduct A/B testing to measure product impact
  • Partner with Product, Policy, Legal, Operations, and Communications to deploy punitive/corrective/friction solutions
  • Lead the technical direction to scale our detection, review and enforcement ahead of business growth

Job Requirements

  • Bachelor's degree in Computer Science or related technical field
  • 4+ years of experience in adversarial domains like abuse/fraud/spam prevention, anomaly detection, risk management, trust and safety
  • Proven record of leading engineering design, implementation, and deployment
  • Experience with service-oriented architecture, big-data stack, experimentation framework
  • Experience with the one or more ML frameworks: TFX, PyTorch, Scikit-learn, or equivalent
  • Growth-minded, data, and impact driven
  • (Big plus) Web3 ecosystem experience
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