Greenhouse ·
full-timeMachine Learning Engineer, Trust & Safety
Vercel · Hybrid - San Francisco, New York City
Vercel provides agentic infrastructure that enables developers and AI agents to build, deploy, and run software at scale, serving customers such as OpenAI, PayPal and millions of developers worldwide. The Machine Learning Engineer role on the Trust & Safety Engineering team focuses on creating production‑ready systems that detect and stop abusive behavior across Vercel’s platform. Day‑to‑day work involves designing and operating reliable, scalable services—including training and feature pipelines, model serving, and evaluation frameworks—while translating both classical ML and large language model prototypes into hardened code. The position splits roughly 80% engineering and 20% modeling, requiring end‑to‑end ownership from model integration through deployment, monitoring, and iteration. Collaboration with security, product, and infrastructure partners is essential to turn abuse patterns into operational defenses. The role is hybrid, based in San Francisco or New York City with three days per week in the office. Ideal candidates have five or more years of software engineering experience building large‑scale production systems, proficiency in Python plus JavaScript/TypeScript or Go, hands‑on experience with ML infrastructure such as training pipelines, feature stores, or LLM serving, and preferably a background in trust‑and‑safety, fraud, or abuse prevention.
Education
- Level: Bachelor's degree
Key Skills
Notes
['Hybrid (3 days office)', 'Competitive compensation', 'Flexible Time Off']
Experience required
5-5 years experienceAbout the Role We are looking for a Machine Learning Engineer on our Trust & Safety Engineering team to build and operate production systems that detect and stop abuse at internet scale. This is an engineering‑first role, about 80% production code and 20% modeling. Responsibilities Design, build, and operate production systems that detect and disrupt abusive behavior with emphasis on reliability, scalability, and observability. Build and maintain 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. Own systems end‑to‑end from integration to deployment, monitoring, and iteration. Collaborate with security, product, and infrastructure teams. Requirements 5+ years of software engineering experience building and operating production systems at scale. Production code experience in Python and JavaScript/TypeScript or Go. Experience building and maintaining ML infrastructure such as training and serving pipelines, feature stores, or evaluation tooling. Experience integrating LLMs into production, including prompt engineering and evaluation.
Skills for this role
Required skills
Also mentioned in the listing
| Role | Machine Learning Engineer, Trust & Safety |
|---|---|
| Company | Vercel |
| Location | Hybrid - San Francisco, New York City |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-09 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Machine Learning Engineer, Trust & Safety at Vercel: frequently asked questions
- Who can apply for the Machine Learning Engineer, Trust & Safety role at Vercel?
- The listing asks for Bachelor's degree; 5-5 years of experience.
- What skills does the Machine Learning Engineer, Trust & Safety role require?
- The listing highlights Python, JavaScript, TypeScript, Go, Machine Learning, ML Infrastructure, Training Pipelines, Feature Pipelines, Serving Infrastructure, Large Language Models. Show each of these in a project or past role on your resume.
- What is the salary for this role?
- Vercel has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Machine Learning Engineer, Trust & Safety position remote, hybrid or onsite?
- The listing marks this role as hybrid, with Hybrid - San Francisco, New York City as the location.
- What is the application deadline?
- Vercel has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Machine Learning Engineer, Trust & Safety role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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