OpenAI
Senior
OpenAI Senior+ Software Engineer, Research Platform — building evaluation and synthetic-data systems for Consumer Devices research
Interview prep for OpenAI's Senior+ Software Engineer role on the Future of Computing Research team within Consumer Devices, building the tools, APIs, and services that power AI research, evaluation, and synthetic-data generation workflows. Grounded in the JD's actual bar: 7+ years of full-stack engineering, ownership of multi-service systems, and turning ambiguous research/design questions into reliable, reproducible platforms.
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What this interview tests
- Building evaluation platforms: rubrics, graders, task suites, rollout configs
- Full-stack ownership across web app, API, data model, backend services
- Synthetic data generation for multimodal/conversational research
- Reliability & observability for research infrastructure (health checks, reproducibility)
- Translating ambiguous research questions into measurable systems
- Cross-functional partnership with researchers, designers, and infra teams
Common question themes
Describe building an evaluation system (graders, rubrics, task suites) from an ambiguous starting point
Walk through a full-stack system you owned end-to-end across multiple services
Tell me about a synthetic data generation pipeline for multimodal or conversational research
How do you measure task quality, coverage, diversity, or semantic spread in an evaluation suite
Describe diagnosing a cross-cutting issue spanning app code, workers, model endpoints, and infra
How have you led a migration across research tools or dependent services
How do you make research artifacts reproducible, versioned, and auditable
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