fal.ai
Senior Software Engineer, Machine Learning Infrastructure & Automation
$170K–$230K
Remote - USA · Remote · Senior · Full-time · Posted Oct 30, 2026
- Experience
- 5+ years of software engineering experience.
About the job
Build and operate automation, infrastructure, and developer tools that help fal’s ML teams test, benchmark, and deploy generative AI models and inference services reliably and quickly.
What you'll do
- Own ML CI/CD pipelines and automate model testing, validation, deployment, and release safeguards.
- Accelerate CI and automate model-quality, performance, pricing, billing, and deployment checks.
- Build AI-powered engineering workflows that diagnose CI failures, identify regressions, and reduce repetitive work.
What they ask for
- 5+ years of software engineering experience, 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 with containerized workloads, Docker, and cloud infrastructure.
Nice to have
- Experience with ML infrastructure, PyTorch, GPU workloads, or model-serving systems.
- Experience with agentic coding tools such as Codex or Claude Code, or building custom AI engineering agents.
Pay
$170K – $230K • Offers Equity (base salary; equity amount not stated)
Tools
Python, PyTorch, Docker, GitHub Actions, NVIDIA GPUs
AI focus
Automate ML model validation and performance benchmarking, and build AI-powered, agentic engineering workflows that diagnose CI failures, identify regressions, and propose fixes.
Model-written summary · the original posting is authoritative