Software Engineer, Machine Learning-Backend
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 3+ years
- Listed
- 22 days ago
Skills & highlights for this role
- Python
- HTTP services
- CI/CD pipelines
- API design
Also useful
- serverless
Stated benefits & perks
- Health
- Dental
- Vision
About This Role
This role is ideal for engineers who want to be on the forefront of the GenAI media revolution. Utilize your deep experience with backend APIs, robust http client and server design to build high-performance, reliable proxies to our partner model providers.
What you’ll do
- Identify, design, and develop foundational HTTP proxies and fal serverless endpoints for 3rd party model providers
- Write clear, well-tested, and maintainable software
- Analyze and improve the robustness and scalability of our existing proxies, APIs and fallback infrastructure
- Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance
Qualifications
- 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.
What we offer at fal
- Interesting and challenging work
- A lot of learning and growth opportunities
- Health, dental, and vision insurance (US)
- Regular team events and offsites
About fal
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.
As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
Equal opportunity and legal notices
fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
From fal's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Software Engineer, Machine Learning-Backend job at fal located?
This Software Engineer, Machine Learning-Backend position at fal is located in San Francisco, CA (On-site). Always check fal's application page for specific state eligibility or relocation policies.
What qualifications are required for Software Engineer, Machine Learning-Backend at fal?
For the Software Engineer, Machine Learning-Backend role, fal highlights 3+ years of relevant experience; experience with Python, HTTP services, CI/CD pipelines, API design. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Software Engineer, Machine Learning-Backend position at fal?
This listing links directly to fal's Ashby application page. You can apply directly on fal's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.