About this role
fal is seeking a Software Engineer for Machine Learning-Backend in San Francisco to build foundational proxies and serverless endpoints for third-party model providers. This full-time position is well-suited for developers with backend API experience who want to contribute to the generative media technology sector.
Role Overview
The Software Engineer, Machine Learning-Backend position involves creating high-performance and reliable proxies connecting to partner model providers. The work centers on building scalable infrastructure and robust fallback systems to support generative media applications.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
fal operates a generative media ecosystem that provides infrastructure, tools, and model access for developers and enterprises. The platform combines high-performance inference, orchestration, and observability to help teams deploy generative media products at scale.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Software Engineer, Machine Learning-Backend role?
The position is based in San Francisco.
How much experience is required to apply?
Applicants need 3 or more years of demonstrated experience building HTTP services with Python.
What is the salary range for this position?
The salary ranges from $150K to $200K, and the compensation package includes equity.
What benefits are provided?
Benefits include health, dental, and vision insurance for US employees, along with regular team events and offsites.