# Machine Learning Engineer, Trust & Safety

**Company**: Vercel
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $208,000.00 - $312,000.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/vercel/jobs/6208037004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c8768026-5bc

## Description

We are looking for a Machine Learning Engineer on our Trust & Safety Engineering team to build and operate the production systems that detect and stop abuse on the platform at internet scale.

This is an engineering-first role, roughly 80% writing and shipping production code (services, pipelines, and infrastructure) and 20% modeling, taking detection and classification approaches from prototype to hardened systems.

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 machine learning (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

Requirements:

- 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 and serving pipelines, feature stores, or evaluation tooling

- Integrated LLMs into production systems, including prompt engineering and evaluation

Nice to have:

- Built an open source ML tool

- Worked in the trust and safety, fraud, or abuse prevention domain

Compensation & Benefits:

- Competitive compensation package, including equity

- Inclusive Healthcare Package

- Learn and Grow - we provide mentorship and send you to events that help you build your network and skills

- Flexible Time Off

- We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed

The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location.

## Skills

### Required
- Python
- JavaScript/TypeScript
- Go
- machine learning
- large language models

### Nice to have
- open source ML tool
- trust and safety
- fraud
- abuse prevention

---

Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/vercel/jobs/6208037004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)