4 hours ago
Base Salary
$196k - $294k/yr
Responsibilities
- Analyze threat actor behavior and evolving abuse patterns across large, heterogeneous datasets.
- Research, prototype, and implement LLM-driven techniques for abuse detection, classification, and prevention.
- Design and develop production-ready systems that detect and disrupt abusive behavior across the Vercel platform.
- Build, maintain, and fine-tune internal tools, datasets, and evaluation pipelines for trust and safety workflows.
- Collaborate with security, product, and infrastructure teams to bring research ideas into stable, scalable production systems.
- Own systems end-to-end from initial research through production deployment and iteration.
Requirements
- At least 5 years of experience in abuse prevention, trust and safety, or security engineering.
- Strong programming skills in JavaScript/TypeScript and Python.
- Hands-on experience with LLMs, including prompt engineering, evaluation, and fine-tuning.
- Solid understanding of cloud infrastructure, including AWS.
- Strong understanding of real-world threat actor behavior and abuse tactics.
- Experience owning systems through research, production deployment, and iteration.
Benefits
- Competitive compensation package including equity, with a San Francisco base pay range of $196,000-$294,000.
- Inclusive healthcare package.
- Mentorship and support for attending professional events.
- Flexible time off.
- Company-provided equipment and a work-from-home budget.
- Hybrid work with Monday, Tuesday, and Friday in-office anchor days for employees within the commuting distance of SF, NY, London, or Berlin offices; fully remote otherwise.
Tech Stack
Categories
About Vercel
Vercel is the platform where humans and AI agents build, ship, and scale software together. Trusted by OpenAI, Meta, Ramp, and Supreme, we free the world to ship what's next.