Machine Learning Engineer, Trust & Safety

VercelHybrid - San Francisco, New York CitySecurity

Apply on company site

Opens the official Vercel careers page

Salary

$208K.00 - $312K.00.

Job type

Full-time

Experience

Senior · 5+ yrs

Posted

9 Oct 2026

Status

Open · checked 7d ago

About this role

Vercel seeks a Machine Learning Engineer for their Trust & Safety Engineering team to build production systems that stop platform abuse at scale in a hybrid format based in San Francisco or New York City. This engineering-focused position suits professionals with a strong background in software development and machine learning infrastructure who want to secure developer platforms.

Role Overview

Vercel is hiring a Machine Learning Engineer for the Trust and Safety Engineering department. This hybrid position requires working three days per week from the San Francisco or New York City office. The role focuses primarily on writing production code to secure developer infrastructure against abuse.

Key Responsibilities

Create and maintain production systems designed to identify and stop malicious behavior with high scalability and reliability.

Construct and support machine learning infrastructure including training workflows, feature pipelines, deployment systems, and evaluation frameworks.

Deploy large language models and classical machine learning methods for abuse detection, transitioning experimental prototypes into robust code.

Manage systems through their complete lifecycle from initial model integration to deployment, performance monitoring, and ongoing updates.

Collaborate closely with security, product, and infrastructure groups to transform security patterns into functional protection mechanisms.

Requirements

Minimum of five years of software engineering experience creating and managing large-scale production systems.

Professional experience writing production-level Python code along with JavaScript, TypeScript, or Go.

Proven history of building and supporting machine learning infrastructure like training pipelines, serving systems, feature stores, or evaluation tools.

Practical background integrating large language models into production environments, covering prompt engineering and assessment.

Nice to Have

Experience creating an open source machine learning tool.

Background working within trust and safety, fraud prevention, or abuse mitigation domains.

Skills and Tools

Python

JavaScript

TypeScript

Large Language Models

Machine Learning Infrastructure

Salary and Benefits

Base pay range for the San Francisco location spans from $208,000.00 to $312,000.00 with adjustments for other regions.

Comprehensive healthcare package.

Flexible time off policy.

Equipment provided for the role along with a work-from-home setup budget.

Equity compensation, mentorship opportunities, and event sponsorships.

About the Company

Vercel operates as an agentic infrastructure company that enables builders and agents to transition ideas into production environments. The platform is trusted by millions of developers and major organizations worldwide including OpenAI, PayPal, Ramp, and Supreme.

How to Apply

Interested candidates should submit their application through the official Vercel careers page.

Skills and tech stack

Python JavaScript TypeScript Go LLM LLMs Machine Learning Prompt Engineering

Questions candidates ask

What is the location requirement for this position?

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

How much time is spent on coding versus modeling?

The role is roughly 80% writing and shipping production code and 20% modeling and taking approaches from prototype to hardened systems.

What programming languages are required?

Candidates must have written production code in Python, plus JavaScript, TypeScript, or Go.

What is the salary range for the San Francisco location?

The San Francisco base pay range is $208,000.00 to $312,000.00, with actual pay determined by skills, experience, and location.

What benefits are included with employment?

Benefits include equity, an inclusive healthcare package, mentorship, event sponsorships, flexible time off, necessary gear, and a work-from-home budget.

Ready to apply?

The application is on the official Vercel careers page.

Apply on company site

Job details

Salary

$208K.00 - $312K.00.

Location

Hybrid - San Francisco, New York City

Job type

Full-time

Experience

Senior · 5+ yrs

Department

Security

Posted

9 Oct 2026

Status

Open · checked 7d ago

Vercel vercel.com

Vercel builds agentic infrastructure designed for both apps and agents, providing a platform where humans and agents build software together. The company serves developers, engineering teams, and organizations building web applications, marketing sites, platforms, and commerce solutions. Its products support agentic workflows through offerings such as an agent stack, AI SDK, AI model gateways, sandboxed environments, and durable orchestration frameworks like eve. The company incorporates artificial intelligence and machine learning into its platform infrastructure and security operations. It builds production systems and machine learning infrastructure—including training pipelines, feature pipelines, serving infrastructure, and evaluation frameworks—to detect and disrupt abuse at internet scale using both classical machine learning and large language models. The open roles indicate that Vercel is building engineering and machine learning teams focused on platform trust and safety. The available positions include Machine Learning Engineers at the experienced or senior level, requiring software engineering backgrounds with specialized skills in building production systems, handling machine learning infrastructure, and integrating large language models. These roles are offered on a hybrid work schedule requiring three days per week in the office, with specific locations designated in San Francisco and New York City.

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