Vercel
Machine Learning Engineer, Trust & Safety
$208K–$312K
Hybrid - San Francisco, New York City +2 · Full-time · Posted Oct 9, 2026
- Location
- Hybrid - San Francisco, New York City
New York, New York, United States
San Francisco, California, United States - Experience
- 5+ years of software engineering experience.
About the job
Build and operate production systems and ML infrastructure that detect and disrupt abuse on Vercel’s platform, taking ML and LLM approaches from prototype to deployment and ongoing monitoring.
What you'll do
- Design, build, and operate reliable, scalable, observable abuse-detection systems.
- Build and maintain ML training, feature, serving, and evaluation infrastructure; integrate models into the platform and monitor their performance.
- Ship LLM and classical ML approaches for abuse detection and classification, collaborating with security, product, and infrastructure teams.
What they ask for
- 5+ years of software engineering experience building and operating production systems at scale.
- Production coding experience in Python, plus JavaScript/TypeScript or Go.
- Experience building and maintaining ML infrastructure, such as training and serving pipelines, feature stores, or evaluation tooling.
- Experience integrating LLMs into production systems, including prompt engineering and evaluation.
Nice to have
- Built an open source ML tool.
- Worked in trust and safety, fraud, or abuse prevention.
Pay
$208,000.00 - $312,000.00 USD base salary
Tools
Python, JavaScript/TypeScript, Go, LLMs
AI focus
Use LLMs and classical ML for abuse detection and classification, including production integration, prompt engineering, and evaluation.
Model-written summary · the original posting is authoritative