Machine Learning Engineer, Trust & Safety

Vercel • San Francisco, CA

11h • $208,000 - $312,000 • Hybrid

About The Position

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. This is a hybrid role based in San Francisco or New York City, with three days a week in the office.

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 Haves

• 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 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

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed