208K–312K USD / year
Machine Learning Engineer, Trust & Safety
Machine learningHybrid — San Francisco, New York City
Published on 2026-10-09
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
The role involves designing and operating production systems to detect and stop abuse on the platform. The engineer will primarily focus on writing production code, while also taking part in machine learning model integration and monitoring.
About the company
Vercel is a platform designed to enhance the frontend development experience, enabling developers to build, deploy, and host modern web applications efficiently. They serve a range of clients, focusing on startups and enterprises across various industries.
The team
Trust & Safety Engineering team
Stack
PythonJavaScriptTypeScriptGo
What you'll do
- Build systems for detecting abusive behavior
- Maintain machine learning infrastructure
- Integrate LLMs into production systems
- Deploy, monitor, and iterate on models
What we're looking for
- 5+ years of software engineering experience
- Production code experience in Python and one other language
- Experience building ML infrastructure
- Familiarity with integrating LLMs
Nice to have
- Built an open source ML tool
- Experience in trust and safety or fraud prevention domain
Benefits
- Competitive compensation package
- Inclusive Healthcare Package
- Flexible Time Off
- Gear and WFH budget