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Software Engineer, Machine Learning-Backend

fal · San Francisco

CHECKED 16H AGO

Infrastructureonsitemid$150k–$200k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build high-performance proxies connecting fal to partner model providers.
  • Develop serverless endpoints that bring third-party models to production.
  • Improve robustness and scalability of core inference infrastructure.

What they offer

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

Ideal candidate

A reliability-minded backend engineer who loves building scalable, fault-tolerant systems and wants to be at the forefront of the GenAI media revolution.

Requirements

  • 3+ years of demonstrated experience in building HTTP services with Python
  • Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources
  • Proficiency in version control practices and CI/CD pipelines

Lab profile

About fal

Generative media infrastructure platform for high-performance inference, orchestration, and model access at scale.

What they build

  • Generative media platform
  • High-performance inference APIs
  • Model orchestration

Known for

  • High-performance inference at scale
  • Unified inference, orchestration and observability
  • Idea-to-production for developers and enterprises
More about fal →
Apply on the lab’s site ↗