Quick overview
Job description
About the Role
Join a platform engineering team at an AI/ML company building document processing systems. You will strengthen the infrastructure behind customer workloads, helping ensure jobs run reliably and efficiently as the platform scales.
What You'll Do
Own and improve the platform that runs document processing jobs, focusing on speed, reliability, and cost efficiency.
Partner with machine learning engineers to serve in-house models efficiently and integrate them into production pipelines.
Build and maintain databases, task orchestration, workload scheduling, and cloud deployments.
Address latency, reliability, and scaling challenges across distributed systems.
Participate in on-call rotations and take end-to-end responsibility for platform health.
What We're Looking For
At least 5 years of platform or backend engineering experience, including work on distributed systems.
Proficiency with Python, or deep expertise in Go or Rust and willingness to work with Python.
Experience building and scaling core infrastructure, task orchestration, and reliable platforms.
Application-level engineering experience in addition to infrastructure work, and experience with on-call responsibilities.
Experience serving models and optimizing cloud infrastructure is valuable.
Background in a startup or evidence of increasing technical scope and responsibility.
Compensation & Benefits
Base salary: $220,000 to $320,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.