Autodesk Applied Scientist Interview Questions

The questions to prepare for a Autodesk Applied Scientist interview. Questions from real interview reports rank first. Updated daily.

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Machine LearningStart here. 4 questions · ~37 min

Explain scaled dot-product and multi-head attention, including masking, positional information, training, and computational tradeoffs.

Core ML Concepts and ModelsHard

Explain and implement core regression, classification, sequence modeling, attention, transformer, and LLM concepts.

model selectiontransformerslinear regression

Autodesk

MSE vs Logistic RegressionHard

Explain why binary cross-entropy is preferred to MSE for training logistic regression.

loss functionsmodel trainingoptimization

Autodesk

Regularization for Feature SelectionHard

Compare L1, L2, and elastic net regularization for selecting features while balancing sparsity, stability, and predictive performance.

model selectionFeature EngineeringRegularization

Autodesk

More topics3 questions · ~27 min

Explain how R-squared and adjusted R-squared differ, then select the appropriate metric for model comparison or prediction.

Odds Ratio in Linear RegressionHard

Distinguish linear from logistic regression and calculate an odds ratio from a fitted logistic coefficient.

linear regressionRegressionstatistics

Autodesk

LLM Project with RAGHard

Assesses ownership, technical judgment, and rigor when building and evaluating an LLM and RAG system.

project experienceAIanalytical judgment

Autodesk

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