Senior Software Engineer, Machine Learning Infrastructure & Automation

Highlights

• Own CI/CD infrastructure powering fal's generative media model releases.
• Build automated validation that catches model quality and performance regressions.
• Develop AI-powered agents that diagnose failures and propose fixes automatically.

What they offer

• Equity
• Health, dental, and vision insurance (US)
• Regular team events and offsites
• Learning and growth opportunities

Ideal candidate

Automation-obsessed infrastructure engineer who sees tooling as a force multiplier. You love eliminating toil and helping ML teams ship faster with confidence.

Requirements

• 5+ years of software engineering background with proficiency in Python and experience building production infrastructure and developer tooling
• Experience designing and operating CI/CD systems using GitHub Actions or comparable technologies
• Deep understanding of automated testing, build systems, dependency management, caching, and parallel execution
• Experience working with containerized workloads, Docker, and cloud infrastructure
• Ability to design reliable distributed systems and debug complex infrastructure failures
• Strong understanding of observability, including logs, metrics, tracing, and automated alerting
• A passion for developer productivity and a demonstrated ability to eliminate manual processes through automation
• Comfortable working independently, identifying high-impact problems, and building end-to-end solutions