Software Engineer, Machine Learning-Backend
fal · San Francisco
CHECKED 16H AGO
Infrastructureonsitemid$150k–$200k
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