Software Engineer, Monetization ML Infrastructure
OpenAI · San Francisco
CHECKED 1H AGO
Frontier labremotesenior$347k–$445k
At a glance
Highlights
- Build ML platform powering OpenAI's next-generation ads experiences.
- Design real-time inference for high-throughput, low-latency workloads.
- Shape greenfield monetization systems at global scale.
What they offer
- Equity
Ideal candidate
Experienced infrastructure builder who thrives in greenfield environments and cares about privacy-preserving, user-first monetization. You enjoy owning the full ML lifecycle and turning research into reliable, high-impact production systems.
Requirements
- 7+ years professional software engineering experience building large-scale distributed systems or ML infrastructure
- Experience building platforms supporting ML workflows including data processing, training, deployment, or serving
- Experience with high-volume data pipelines and large-scale online systems
- Experience designing reliable, low-latency systems with strong operational and observability practices
- Comfortable working across full ML lifecycle from data and training through deployment and monitoring
- Experience improving infrastructure performance, scalability, efficiency, and reliability in production
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets