ABOUT THE ROLE
Join a platform engineering team at an AI and machine learning startup, strengthening the infrastructure behind document processing workflows. You will help make customer jobs faster, more reliable, and cost-efficient while collaborating closely with machine learning engineers.
WHAT YOU'LL DO
- Own and improve the platform that runs document processing jobs, with a focus on speed, reliability, and cost efficiency.
- Partner with machine learning 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 by addressing latency, reliability, and scaling challenges as usage grows.
- Participate in on-call rotations 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 with distributed systems.
- Experience building and scaling core infrastructure, task orchestration, and reliable platforms.
- Application-level engineering experience in addition to infrastructure work.
- Proficiency in Python, or deep Go or Rust experience and willingness to work in Python.
- Cloud infrastructure, model serving optimization, and on-call experience.
- Startup experience or a demonstrated record of taking on increasing technical responsibility.
COMPENSATION & BENEFITS
Base salary: $220,000 to $320,000 annually. Visa sponsorship is available.
LOCATION
On-site in San Francisco, California, United States.