Quick overview
Job description
About the Role
Join a platform team at an AI/ML startup, helping build and strengthen the systems behind document processing. You will partner with ML engineers to make customer workloads fast, reliable, and cost efficient.
What You'll Do
Own and improve the platform that runs document processing workloads, with a focus on speed, reliability, and cost efficiency.
Work with ML teams to serve in-house models efficiently and integrate them into production pipelines.
Build and maintain infrastructure for databases, task orchestration, workload scheduling, and cloud deployments.
Improve distributed systems as workload volume grows, addressing latency, reliability, and scaling challenges.
Join an on-call rotation and take end-to-end ownership of platform health.
What We're Looking For
At least 5 years of platform or backend engineering experience, including work on distributed systems.
Python proficiency, or deep Go or Rust expertise and willingness to work in Python.
Experience building and scaling core infrastructure, task orchestration, and reliable platforms.
Application-level engineering experience in addition to infrastructure work, as well as on-call experience.
Background in a startup or other fast-moving environment, with experience supporting systems at scale.
Experience with cloud infrastructure and model-serving optimization is valuable.
Compensation & Benefits
Base salary: $220,000 to $320,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
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