ML Engineer, Trust & Safety — Production Abuse Detection

WebHosting; San Francisco (CA); Hybrid; USD 208,000 - 312,000; Full time

Job summary

Vercel is seeking a Machine Learning Engineer on the Trust & Safety Engineering team to build and operate production systems that detect and stop abuse on the platform at internet scale. This is an engineering-first role focused on shipping production code and improving ML models, with a hybrid setup in San Francisco or New York City requiring three days on site.

You will design, implement, and maintain ML infrastructure, integrate LLMs into production, and collaborate with security, product,

Qualifications

• 5+ years of software engineering experience building and operating production systems at scale.
• Built and maintained ML infrastructure, such as training pipelines, feature pipelines, serving infrastructure, or evaluation tooling.
• Integrated LLMs into production systems, including prompt engineering and evaluation.
• Built an open source ML tool.
• Worked in the trust and safety, fraud, or abuse prevention domain.

Responsibilities

• Design, build, and operate production systems that detect and disrupt abusive behavior across the platform, with an emphasis on reliability, scalability, and observability.
• Build and maintain ML infrastructure, including training pipelines, feature pipelines, serving infrastructure, and evaluation frameworks.
• Ship large language model (LLM) 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

Software engineering

ML infrastructure

LLM integration

Open source ML tool

Trust & Safety

Tools

Training pipelines

Serving pipelines

Feature stores

Evaluation tooling

Job description

Vercel is seeking a Machine Learning Engineer on the Trust & Safety Engineering team to build and operate production systems that detect and stop abuse on the platform at internet scale. This is an engineering-first role focused on shipping production code and improving ML models, with a hybrid setup in San Francisco or New York City requiring three days on site.

You will design, implement, and maintain ML infrastructure, integrate LLMs into production, and collaborate with security, product,