Remote Position
Machine Learning Engineer, Trust & Safety
🌍 Remote · United States
💼 Full-time
About the position 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.
Responsibilities
- 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
Requirements
- 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
Nice-to-haves
- Built an open source ML tool
- Worked in the trust and safety, fraud, or abuse prevention domain
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.
Apply To This Job