Senior ML Infra Engineer — CI/CD & Automation

JoinStartup; United States; À distance; USD 170 000 - 230 000; Plein temps

Avantages offerts par ce poste

Health insurance

Dental insurance

Vision insurance

Team events

Résumé du poste

fal is seeking a Senior Software Engineer to lead ML CI/CD infrastructure, automation, and developer tooling at scale. You will own automated testing, validation, and deployment pipelines for ML models and inference services.

You will focus on reducing CI times, implementing intelligent parallelization, and building AI-powered workflows that diagnose failures and propose fixes, while improving reliability and eliminating toil for engineers.

Qualifications

• 5+ years of software engineering background with proficiency in Python and production infrastructure.
• 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.

Responsabilités

• Own ML CI/CD infrastructure: design, build, and maintain automated testing, validation, and deployment pipelines for ML models and inference services.
• Accelerate development cycles by reducing CI execution times through intelligent parallelization and efficient compute usage.
• Develop systems for automated model validation and quality regression detection across GPU architectures.
• Automate performance benchmarking to detect regressions in latency, throughput, and GPU utilization.
• Build automated pricing and deployment checks to validate configurations before production.
• Extend agentic engineering workflows to diagnose CI failures and propose fixes.
• Improve deployment reliability with automated safeguards, rollback mechanisms, and monitoring.
• Eliminate toil by automating repetitive tasks across the ML team.

Connaissances

Python

CI/CD

Distributed systems

Automated testing

Observability

Cloud infrastructure

Outils

GitHub Actions

Docker

Kubernetes

PyTorch

NVIDIA GPUs

Description du poste

fal is seeking a Senior Software Engineer to lead ML CI/CD infrastructure, automation, and developer tooling at scale. You will own automated testing, validation, and deployment pipelines for ML models and inference services.

You will focus on reducing CI times, implementing intelligent parallelization, and building AI-powered workflows that diagnose failures and propose fixes, while improving reliability and eliminating toil for engineers.