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1 Vacancy
Location: San Francisco CA (Hybrid 3 days/week in FiDi)
Employment Type: Full-Time
Compensation: $150000 $300000
We are building the infrastructure to make generative AI safer and more reliable. Our mission is to help leading companies and researchers identify and correct data and model issues before they cause downstream harm.
Our platform combines cutting-edge ML research with production-grade tooling delivering APIs and applications that evaluate and remediate problematic outputs from large AI systems. Backed by top AI research and trusted by enterprise teams we are defining the safety layer for AI deployment.
As a Backend Software Engineer you will be a core contributor to our platform (TLM and Codex) working at the intersection of distributed systems ML infrastructure and data engineering. You will design and build backend systems that detect evaluate and remediate issues in generative AI outputs in real time ensuring reliability and trustworthiness at scale.
This is a high-impact role on a small research-driven team where you will own major backend components collaborate closely with ML researchers and help translate novel ideas into production infrastructure.
Design build and maintain backend systems for real-time detection and remediation of generative AI issues
Own major backend components of our platform from architecture through production
Work at the intersection of distributed systems ML infrastructure and data engineering
Collaborate closely with ML researchers and product engineers to turn research into production systems
Improve scalability performance and resilience of backend services as we grow
Contribute to evaluation pipelines and ensure systems deliver trustworthy results at enterprise scale
5 years of experience in backend or closely adjacent roles
Strong skills in distributed systems API design and infrastructure for scale
Experience building high-performance backend services in production environments
Ability to thrive in a fast-paced mission-driven startup environment
Excellent collaboration skills and a hands-on ownership-driven mindset
Full Time