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You will own and improve the platform that runs document processing jobs, focusing on speed, reliability, and cost efficiency. You will also partner with machine learning teams to integrate in-house models into production workflows and maintain core infrastructure.
Join a platform engineering team at an AI document processing software company. You will strengthen the systems that run document processing workloads, helping ensure they are fast, reliable, and cost-efficient as usage grows. You will partner closely with machine learning engineers and take ownership of platform health.
Own and improve the platform that runs document processing jobs, focusing on speed, reliability, and cost efficiency.
Partner with machine learning teams to serve in-house models efficiently and integrate them into production workflows.
Build and maintain databases, task orchestration, workload scheduling, and cloud deployments.
Improve distributed systems by addressing latency, reliability, and scaling challenges.
Participate in on-call rotations and take end-to-end responsibility for platform health.
At least 5 years of platform or backend engineering experience, including work with distributed systems at scale.
Strong Python proficiency, or deep Go or Rust expertise and a willingness to work in Python.
Experience building task orchestration systems and improving platform reliability, with on-call experience.
Application-level engineering experience in addition to infrastructure work.
A track record of owning and scaling core infrastructure, demonstrated through senior-level responsibility, rapid growth in scope, or experience in a fast-growing startup.
Experience with cloud infrastructure and optimizing model serving is beneficial.
Base salary is $220,000 to $320,000 annually. Visa sponsorship is available.
Remote within the United States. Primary location: San Francisco, California.
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