Machine Learning Engineer, Trust & Safety

FDE Times; San Francisco (CA); Hybrid; USD 208,000 - 312,000; Full time

Benefits offered by this job

Equity

Healthcare

Mentorship & events

Flexible time off

WFH budget

Job summary

Vercel is seeking a Machine Learning Engineer on the Trust & Safety Engineering team to build production systems that detect and stop abuse at internet scale. This is an engineering-first role, roughly 80% writing and shipping production code and 20% modeling, based in San Francisco or New York City with three days a week in the office.

You will design, build, and operate ML infrastructure, including training pipelines, feature pipelines, serving infrastructure, and evaluation frameworks.

Qualifications

• 5+ years of software engineering experience building production systems.
• Proficient in Python; knowledge of JavaScript/TypeScript or Go.
• Experience with ML infrastructure, training/serving pipelines, or evaluation tooling.

Responsibilities

• Design, build, and operate production systems that detect and disrupt abusive behavior at scale, prioritizing reliability and observability.
• Develop and maintain ML infrastructure (training pipelines, feature pipelines, serving infrastructure, evaluation tooling).
• Ship LLM and classical ML approaches for abuse detection and classification, turning prototypes into maintainable code.
• Own end-to-end systems, from model integration to deployment, monitoring, and iteration.
• Collaborate with security, product, and infra teams to translate abuse patterns into production solutions.

Skills

Python

JavaScript/TypeScript

Go

ML infrastructure

LLMs in production

Job description

About Vercel

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

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.

What you’ll do

• 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

What you need

• 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

Bonus if you

• Built an open source ML tool
• Worked in the trust and safety, fraud, or abuse prevention domain

Compensation & Benefits

• 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.

The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Disclosures

• 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.