2h ago
New
USD 208000-312000/yr

Machine Learning Engineer, Trust & Safety

United StatesUnited States·San FranciscoHybridmid
Machine Learning EngineerData
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Quick Summary

Key Responsibilities

Design, build, and operate production systems that detect and disrupt abusive behavior across the platform, with an emphasis on reliability, scalability,

Requirements Summary

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,

Technical Tools
Machine Learning EngineerData

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 read

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.

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
✓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.
  • 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

Where is the job
San Francisco, United States
Hybrid — some on-site time required
Who can apply
Open to applicants worldwide

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

freshnesssource trustcontent trustemployer trust

We enable developers to build and publish wonderful things. We build products for developers and designers. And those who aspire to become one.

Employees
350
Founded
2020
View company profile
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Machine Learning Engineer, Trust & SafetyUSD 208000-312000