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SafetyKit

AI-driven Trust and Safety risk management

Applied AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • The candidate should have a strong interest in language models.
  • The candidate should be rigorous when evaluating and working with AI models.
  • The candidate should learn new concepts unusually quickly.
  • The candidate should have detailed curiosity about customers’ companies.
  • The candidate should care about the quality of their work and move quickly.
  • The candidate should have broad and deep knowledge and insatiable curiosity.

Responsibilities

  • Turn language models into useful, functional, and beautiful products.
  • Scope and implement novel applications of AI agents, including adversarial web crawling, weapons identification, red teaming, and ingredient extraction.
  • Architect and implement workflows that power SafetyKit’s risk AI agents.
  • Design and conduct rigorous experiments to evaluate models’ relative strengths, weaknesses, and optimal use cases.
  • Use code-generation models to accelerate development.
  • Manage the model alpha program with OpenAI and work directly with its research and product teams to discover unknown capabilities in new models.
  • Work directly with customers and influence operations and policymaking at large companies.

About the Company

SafetyKit

AI-driven Trust and Safety risk management

SafetyKit provides AI-powered Trust and Safety software as a service for online marketplaces and platforms. Its tools analyze user reports, including audio transcripts and images, and integrate with customers’ CRM systems to categorize, prioritize, and flag tickets without extra engineering. The platform uses AI to triage, route reports, and streamline workflows across existing tools. SafetyKit aims to help platforms reduce risk, prevent abuse, and protect users at scale through automated risk management.

Company size
Not listed
Company stage
Early VC
Total funding
$29.8M
Headquarters
San Francisco, CA
Founded
2023

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