ML Infrastructure Architect

3 days ago


San Francisco, California, United States Pear VC Full time
About the Role: We are seeking a highly skilled ML Infrastructure Architect to build and maintain our real-time, continuously adapting ML platform. As a key member of our team, you will design and implement scalable ingestion pipelines using Kafka and Flink to handle dynamic loads and growing complexity without sacrificing latency or reliability. Your backend capabilities will create an environment where novel ML approaches can be seamlessly tested, integrated, and iterated upon. Whether it's spinning up GPU-accelerated instances for fast inference, fine-tuning backend APIs for new embedding strategies, or streamlining data flows for model comparison experiments, your role will be pivotal in turning research insights into production-ready features.

Your Responsibilities:
  • Design and implement scalable ingestion pipelines using Kafka and Flink to handle real-time text, video, and metadata streams.
  • Build and maintain backend APIs that interface smoothly with ML components, front-end dashboards, and storage layers.
  • Integrate observability and CI/CD practices to enable quick iteration, safe rollouts, and immediate feedback loops.
  • Support the research and experimentation of new ML models, ensuring that backend services and APIs can adapt rapidly to novel requirements.


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