Machine Learning Engineer, Trust & Safety

WebHosting; San Francisco (CA); Híbrido; USD 208.000 - 312.000; Jornada completa

Descripción de la vacante

Vercel is seeking a Machine Learning Engineer on the Trust & Safety Engineering team to build and operate production systems that detect and stop abuse on the platform at internet scale. This is an engineering-first role focused on shipping production code and improving ML models, with a hybrid setup in San Francisco or New York City requiring three days on site.

You will design, implement, and maintain ML infrastructure, integrate LLMs into production, and collaborate with security, product,

Formación

• 5+ years of software engineering experience building and operating production systems at scale.
• Built and maintained ML infrastructure, such as training pipelines, feature pipelines, serving infrastructure, or evaluation tooling.
• Integrated LLMs into production systems, including prompt engineering and evaluation.
• Built an open source ML tool.
• Worked in the trust and safety, fraud, or abuse prevention domain.

Responsabilidades

• 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 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.

Conocimientos

Software engineering

ML infrastructure

LLM integration

Open source ML tool

Trust & Safety

Herramientas

Training pipelines

Serving pipelines

Feature stores

Evaluation tooling

Descripción del empleo

Hybrid Full-time Not specified Security

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

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.

• 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.