Description
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.
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 have:
- 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.