Interview guides
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Built from candidate interview evidence and role research
OpenAIResearch Engineer
Progressive coding, ML evaluation, unfamiliar-code debugging, and research project depth.
OpenAISoftware Engineer
Practical coding, repository debugging, system design, and a detailed review of a project you built.
OpenAISoftware Engineer, New Grad
Reported assessment tasks, iterative object-oriented design, and a mission-focused behavioral conversation.
OpenAIProduct Manager
Product sense, execution, go-to-market, and behavioral rounds across a team-specific loop.
AnthropicSoftware Engineer
Practical coding, AI-assisted PR review, system design, and thoughtful discussions of AI safety.
AnthropicInfrastructure Software Engineer
Distributed coding, performance analysis, and design across systems and data infrastructure.
AnthropicAI Safety Fellow
Cohort-specific assessments, NumPy debugging, codebase work, and safety research discussions.
MetaMachine Learning Engineer
Algorithms, ML design, behavioral interviews, and AI-assisted coding reported in newer loops.
xAIExceptional Software Engineer
Progressive coding, product-aware system design, and practical infrastructure discussions.
Google DeepMindProduct Manager
Product sense, AI evaluation, and case discussions tied to real product decisions.
PerplexityProduct Manager
Product sense, metrics, technical depth, and cross-functional judgment in a fast-moving PM loop.
ElevenLabsSoftware Engineer
Algorithms, practical coding, and product decomposition for full-stack and generalist engineers.