Technical Priorities and Challenges Questions
Identify the team's current technical priorities, pain points, and technical roadmap including architecture, technical debt, platform and tooling constraints, and business intelligence or data infrastructure considerations. Candidates should be able to discuss the current data stack and workflows, trade offs between short term fixes and longer term redesigns, success criteria for technical initiatives in the first 90 days and first year, and how their technical experience and decisions would address the team constraints while aligning with product goals.
MediumSystem Design
0 practiced
Design an inference API for ML models that supports multiple versions, backward compatibility, canary traffic, and metadata (model-id, version, schema). Include endpoints, request/response shape examples (JSON), and a deprecation strategy for old versions.
HardSystem Design
0 practiced
Production shows a sudden model quality regression. Propose an observability and causal-analysis system to identify root causes (data pipeline changes, label skew, feature distribution change, code/dependency updates). Explain what instrumentation you would add and an investigation workflow to isolate root cause.
HardTechnical
0 practiced
Your leadership asks for a recommendation: use managed cloud AI services (hosted model serving, feature store) or build and operate a self-hosted stack. Produce a comparative analysis covering speed-to-market, cost over 3 years, operational risk, lock-in, security/compliance, and developer productivity. Conclude with decision criteria and a recommended approach for a startup aiming to scale internationally.
MediumTechnical
0 practiced
Your engineering lead asks you to quantify the ROI of refactoring the model-serving layer into separate microservices (route, pre-process, model, post-process). Propose a set of business and technical metrics you would use to measure ROI, how to collect them, and an A/B style experiment to validate the refactor's benefit.
MediumTechnical
0 practiced
You inherit a backlog of ~120 technical debt items across model code, infra, and tooling. Propose a prioritization strategy and a working process to get the backlog to an acceptable state within 6 months. Include how you would balance business feature work and how to get stakeholder buy-in.
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