ML Engineer, Trust & Safety – Scalable Abuse Detection

Vercel Inc.; New York, Northern (NY, KY); Hybrid; USD 208,000 - 312,000; Full time

Benefits offered by this job

Equity

Inclusive Healthcare Package

Mentorship & events

Flexible Time Off

WFH budget

Job summary

Vercel Inc. is seeking a Machine Learning Engineer on the Trust & Safety Engineering team to build and operate production systems that detect and stop abuse at internet scale.

The role is 80% production code and 20% modeling, with a hybrid schedule in San Francisco or New York City, three days in the office. You will design, build, and deploy ML infrastructure, train pipelines, serving infra, and evaluation tools, while integrating LLMs into production systems and working with cross-functional

Qualifications

• 5+ years of software engineering experience building and operating production systems at scale.
• Wrote production code in Python, plus JavaScript/TypeScript or Go.
• Built and maintained ML infrastructure, such as training pipelines, feature stores, or evaluation tooling.
• Integrated LLMs into production systems, including prompt engineering and evaluation.

Responsibilities

• Design, build, and operate production systems that detect and disrupt abusive behavior across the platform, with reliability, scalability, and observability.
• Build and maintain ML infrastructure, including training pipelines, feature pipelines, serving infrastructure, and evaluation frameworks.
• Ship large language model and classical ML approaches for abuse detection and classification, turning prototypes into maintainable code.
• Own systems end to end, from integrating a model into the platform through deployment, monitoring, and iteration.
• Work with security, product, and infrastructure teams to turn abuse patterns and detection logic into production systems.

Skills

Production systems

Python

JavaScript/TypeScript

Go

ML infrastructure

LLMs integration

Tools

Training pipelines

Serving infrastructure

Feature stores

Evaluation tooling

Job description

Vercel Inc. is seeking a Machine Learning Engineer on the Trust & Safety Engineering team to build and operate production systems that detect and stop abuse at internet scale.

The role is 80% production code and 20% modeling, with a hybrid schedule in San Francisco or New York City, three days in the office. You will design, build, and deploy ML infrastructure, train pipelines, serving infra, and evaluation tools, while integrating LLMs into production systems and working with cross-functional