An early-stage San Francisco startup enabling websites to autonomously optimize via real-time AI.
AI Platform Engineer
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You are the engineer who sees infrastructure as a dynamic product rather than a static utility, thriving where autonomous systems demand absolute reliability. Your days will focus on architecting the Kubernetes backbone that allows marketing platforms to self-optimize based on live user behavior without human intervention. We need someone who can bridge the gap between heavy ML workloads and production-grade SRE practices to scale our self-improving engine.
What they're looking for
- 5+ years building production infrastructure on AWS, GCP, or Azure with deep Kubernetes expertise.
- Proven track record deploying and scaling machine learning models in high-traffic B2B environments.
- Mastery of CI/CD pipelines, Docker containerization, and edge computing strategies via tools like Cloudflare.
- Experience designing resilient systems that handle real-time data feedback loops for autonomous optimization.