Scale AI
Software Engineer, Frontier AI Infrastructure
$138K–$259K
San Francisco, CA +4 · Full-time · Posted Feb 15, 2024
- Location
- San Francisco, CA
St. Louis, MO
New York, NY
Washington, DC
Washington, District of Columbia, United States
About the job
Own and improve the model inference layer and secure backend infrastructure for public-sector AI deployments, including integration testing and customer-facing platform support.
What you'll do
- Design and maintain scalable backend systems and improve the long-term health of services and components.
- Adapt the platform for compliant or restrictive environments using swappable components, and build integration tests with Product.
- Engage with customers and cloud vendors, troubleshoot platform issues, and contribute to the public-sector product roadmap.
What they ask for
- Hold at least an active Secret clearance and be able and willing to upgrade to TS/SCI with CI Poly.
- Support work 3–4 days per week from the DC, SF, NYC, or STL office.
Nice to have
- Full-stack development experience; air-gapped or isolated software delivery experience is a plus.
- Cloud-native and security-compliance experience, including containerization, cloud platforms, and federal compliance frameworks.
Pay
$184,000 — $259,440 USD (base salary); $165,600 — $233,496 USD (base salary); $138,000 — $194,580 USD (base salary)
Tools
Docker, Kubernetes, AWS, Azure, GCP
AI focus
Own the model inference layer, enable state-of-the-art models, debug AI tools, and track model pricing and usage metrics.
Model-written summary · the original posting is authoritative