Platform Engineer: Classification & Model Evaluation

We Love AI Jobs; San Francisco (CA); Hybrid; USD 347,000 - 445,000; Full time

Job summary

OpenAI in San Francisco offers a hybrid, permanent software engineering role building classification and evaluation platforms. You will design services, pipelines, and tools that let researchers configure and run experiments at scale.

You’ll push performance and reliability of model serving, work with research and data science teams, and own production reliability, observability, and incident response as workloads evolve.

Qualifications

• Experience designing and operating software services at scale.
• Strong API design, concurrency, and reliability skills.
• Familiarity with ML model serving and evaluation workflows.

Responsibilities

• Design and build services and APIs for configuring, running, and evaluating classifiers.
• Improve model-serving throughput, latency, and compute utilization.
• Own platform reliability and observability; reduce operational burden.
• Collaborate with researchers and data scientists to iterate on experiments.

Skills

API design

Distributed systems

Online and offline pipelines

Model serving

Concurrency

Caching

Performance optimization

Observability

Job description

OpenAI in San Francisco offers a hybrid, permanent software engineering role building classification and evaluation platforms. You will design services, pipelines, and tools that let researchers configure and run experiments at scale.

You’ll push performance and reliability of model serving, work with research and data science teams, and own production reliability, observability, and incident response as workloads evolve.