Machine Learning Engineer, Trust & Safety
Quick Summary
Design, build, and operate production systems that detect and disrupt abusive behavior across the platform, with an emphasis on reliability, scalability,
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,
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the Role
~1 min readWe 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.
Responsibilities
~1 min read- →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
~1 min read- 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
~1 min read- Built an open source ML tool
- Worked in the trust and safety, fraud, or abuse prevention domain
What We Offer
~1 min read- Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data.
- Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location & Eligibility
Listing Details
- Posted
- October 9, 2026
- First seen
- October 9, 2026
- Last seen
- October 9, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 81%
- Scored at
- October 9, 2026
Signal breakdown
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