About The Position

You will architect and scale sophisticated, real-time backend systems and machine learning pipelines that power high-fidelity generative media. This role involves tackling low-latency challenges and building robust infrastructure to support seamless AI interactions. You will collaborate with a world-class team to push the boundaries of real-time synthetic media technology at scale.

Requirements

  • Extensive experience building and scaling complex, real-time distributed systems in production.
  • Strong proficiency in backend engineering or deploying large-scale machine learning models.
  • Proven ability to thrive in a fast-moving, high-ambiguity startup environment based in San Francisco.

Responsibilities

  • Design and implement high-performance, real-time backend services and distributed systems.
  • Optimize machine learning models and pipelines for low-latency production environments.
  • Collaborate with cross-functional teams to integrate complex AI features into reliable user experiences.
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