Role Team and Infrastructure Questions Questions
Guides asking targeted questions about the specific role, team responsibilities, and the technical or operational infrastructure that supports the role. Topics include typical responsibilities, on call rotations or support models, current infrastructure challenges, tech stack or tooling, success metrics for the role, collaboration with adjacent teams, opportunities for growth, and infrastructure priorities. This helps candidates demonstrate role understanding and probe for operational and strategic expectations.
HardTechnical
0 practiced
For large-scale distributed training across hundreds of GPUs, describe how you would design the training system including data sharding, distributed optimizer strategy, checkpointing, and fault tolerance. Discuss trade-offs between synchronous and asynchronous training and how to handle stragglers.
HardTechnical
0 practiced
A production model's performance suddenly degrades for a specific user cohort. Walk through an investigative process: what instrumentation, logs, and snapshots you would inspect, how you would use replay/shadowing to validate hypotheses, and how you would mitigate user impact while fixing the root cause.
MediumTechnical
0 practiced
Your team's training compute costs increased threefold after adding hyperparameter search and larger architectures. How would you diagnose cost drivers and reduce spending while preserving model quality? Describe concrete actions, trade-offs, and how you'd measure success.
HardTechnical
0 practiced
Define a three-year technical vision for ML infrastructure across multiple product teams to improve model reliability, developer velocity, and cost-efficiency. Include prioritized initiatives, success metrics, phased roadmap, and governance mechanisms for cross-team adoption.
HardTechnical
0 practiced
Build a business case and ROI model for investing in a company-wide feature store. Describe key benefits you would quantify (reduced time to production, feature re-use, model quality), baseline metrics to collect, assumptions for cost and benefit, and how you would convince stakeholders to fund the project.
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