Hybrid opportunity at
VercelMachine Learning Engineer, Trust & Safety
Vercel, which calls itself an agentic infrastructure company, is hiring a Machine Learning Engineer for its Trust and Safety Engineering team. The position is hybrid, located…
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About This Role
Vercel, which calls itself an agentic infrastructure company, is hiring a Machine Learning Engineer for its Trust and Safety Engineering team. The position is hybrid, located in San Francisco or NYC, with three office days weekly. The team builds and runs production systems that spot and halt abuse across the platform. The job is mostly engineering. The posting describes roughly 80 percent of the time as writing and shipping production…
Job Description
Vercel, which calls itself an agentic infrastructure company, is hiring a Machine Learning Engineer for its Trust and Safety Engineering team. The position is hybrid, located in San Francisco or NYC, with three office days weekly. The team builds and runs production systems that spot and halt abuse across the platform.
The job is mostly engineering. The posting describes roughly 80 percent of the time as writing and shipping production code for services, pipelines and infrastructure, and about 20 percent as modeling, turning detection ideas into hardened systems. The engineer would own work from end to end, from wiring a model into the platform to shipping, observing and refining it.
Responsibilities include building machine learning infrastructure such as training pipelines, feature pipelines, serving layers and evaluation frameworks. The engineer would ship language-model and classical machine learning methods for abuse detection, and coordinate with security, product and infrastructure colleagues to convert abuse patterns into production logic.
Strong candidates bring five or more years of software engineering work on production systems at scale, with production Python alongside JavaScript, TypeScript or Go. Prior work on machine learning infrastructure and on integrating language models into live products, including prompt design and evaluation, is expected. Work on fraud prevention, abuse-prevention systems or an open-source ML tool would be a bonus.
Responsibilities
- Create and operate production systems that catch and stop abusive activity
- Build and maintain training pipelines, feature pipelines, serving layers and evaluation frameworks
- Ship language-model and classical machine learning approaches for abuse detection
- Own systems from integration through deployment, monitoring and iteration
- Work with security, product and infra colleagues to translate abuse patterns into live logic
Requirements
- Five or more years of software engineering on production systems at scale
- Shipping Python code, along with JavaScript, TypeScript or Go
- Prior work on ML platform pieces, for example training or serving pipelines and evaluation tooling
- Experience putting language models into production, including prompt design and evaluation
Qualifications
- Experience in trust and safety, fraud prevention or abuse-related work
- Experience building an open-source machine learning tool
Core Skills
Benefits
- Competitive pay package that includes equity
- Inclusive healthcare package
- Mentorship and sponsored events for skill and network growth
- Flexible time off
- Equipment for the role and a work-from-home budget
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the role based?
The role is hybrid, with office time three days a week in San Francisco or NYC.
What is the base pay range?
The posting lists a San Francisco base pay range of $208,000 to $312,000, and says pay outside San Francisco may be adjusted for location.
What experience is required?
The posting requires five or more years of software engineering, production Python code, and experience with machine learning infrastructure and LLM integration.
Is equity offered?
Yes, the compensation package includes equity, and the company may also offer bonus or variable pay depending on the role.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
