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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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这场面试考什么

  • 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

常见提问方向

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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