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Updated weekly · Last refresh Oct 17

Autodesk Research Scientist Interview Questions

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

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1
Machine LearningStart here. 5 questions · ~48 min
Pre-Training vs Post-Training StagesEasy

Explain how pre-training differs from post-training, and how each stage affects model behavior on downstream tasks.

RegularizationDeep LearningSupervised LearningAutodesk
Rank Human Preferences for RLHFMedium

Train a pairwise preference model for RLHF that predicts which LLM response humans prefer and produces deployable reward scores.

RegularizationDeep LearningSupervised LearningAutodesk
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2
Model Evaluation3 questions · ~29 min
Metrics for Alignment and ReliabilityEasy

Explain how model evaluation metrics help assess whether a model is aligned with its task and reliable enough for use.

PrecisionAccuracyRecallAutodesk
Assess Model Robustness and ReliabilityMedium

Approach for judging whether a model is stable, calibrated, and dependable before deployment.

PrecisionAccuracyRecallAutodesk
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3
More topics7 questions · ~68 min
Writing a Machine Learning FunctionHard
Practice

Use dynamic programming and backpointers to find the most likely hidden-state sequence in a Hidden Markov Model.

RecursionMathArraysAutodesk
Building Experimental Rigor on TeamsEasy

Explain how to build disciplined experimentation practices, from hypothesis definition to valid analysis and decision making.

ExperimentationHypothesis TestingA/B TestingAutodesk
Fine-Tune a Large Language ModelEasy

Explain a practical approach to fine-tuning an LLM, from tokenization and data prep to training and evaluation.

Hyperparameter TuningLanguage ModelsDeep LearningAutodesk
Mentor Junior Researchers EffectivelyEasy

Explain how you mentor junior researchers so they develop technical judgment, independence, and clear execution habits.

Success CriteriaRisk AssessmentScope ManagementAutodesk
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