Behavioral: Walk Through 2–3 ML Projects + Logistics
Context
You are interviewing for a Machine Learning Engineer role in a technical screen that emphasizes behavioral and leadership dimensions.
Instructions
Choose 2–3 projects from your resume that are most relevant to product-facing ML. For each project, cover:
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Problem and goal (what business/user outcome you targeted)
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Your role and collaborators (scope, ownership, leadership)
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Technical decisions (data, modeling, infra/serving, experimentation, trade-offs)
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Measurable impact (quantified outcomes, guardrails)
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Lessons learned (pitfalls and what you’d do differently)
Then confirm logistics:
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Earliest possible start date
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Work authorization status
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Preferred work arrangement (onsite/hybrid/remote)
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Any time-zone constraints