Machine Learning Engineer, Reliability

Highlights

• Own reliability, security and safety of fal's generative media model APIs.
• Keep image, video and audio model APIs available and performant at scale.
• Operationalize safety systems and moderation pipelines at inference time.

What they offer

• Competitive salary and equity
• Learning and growth opportunities
• Regular team events and offsites

Ideal candidate

An ML-minded reliability engineer who thrives on-call and cares deeply about safe, fast generative media. You blend systems intuition with model curiosity and automate to prevent repeat failures.

Requirements

• 5+ years professional experience with 2 years operating production ML or high-scale API systems
• On-call ownership of production systems
• Experience working with and supporting diffusion models in production
• Strong systems fundamentals in distributed systems, networking, observability and incident management
• Working knowledge of modern generative models and their failure modes in production
• Familiarity with security and safety practices for ML systems including abuse prevention and content safety