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Updated weekly · Last refresh Oct 17

Atlassian Machine Learning Engineer Interview Questions

The questions to prepare for a Atlassian Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
CodingStart here. 13 questions · ~131 min
Sort Collections by Size with Streaming UpdatesMedium
Practice

Aggregate file sizes by collection and process add/remove events while returning sorted collection rankings.

aggregationData StructuresAlgorithmsAtlassian
Median of Inputs by FactorsMedium
Practice

Compute a weighted score for each multi-factor input and return the median score.

aggregationArraysAlgorithmsAtlassian
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2
System Design11 questions · ~110 min
Design a Large-Scale Document Query ChatbotHard

Design a grounded document chatbot that remains accurate, fast, and affordable as the document corpus grows.

factual groundinginference latencydata ingestionAtlassian
Design a Recommendation SystemHard

Design a scalable recommendation system covering retrieval, ranking, serving, evaluation, and failure modes.

ML RankingFeature DriftdesignAtlassian
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3
Machine Learning17 questions · ~171 min
Improve Model Serving LatencyHard

Design and implement practical optimizations that reduce latency when serving a traditional machine learning model.

model selectionlatencyModel ServingAtlassian
Knowledge Distillation Teacher-StudentHard

Explain how a large teacher model transfers knowledge to a smaller student model using soft targets and a combined distillation loss.

model architectureDeep LearningModel EvaluationAtlassian
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4
Behavioral & Leadership6 questions · ~60 min
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5
More topics3 questions · ~30 min
Query-Aware LLM EvaluationMedium

Assesses evaluation methodology for LLM systems using offline and online metrics.

llmAtlassian
Streaming Trending Averages PipelineHard

Assesses streaming architecture and weighted aggregation design.

pipeline designAtlassian
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