Autodesk AI Research Scientist Interview Questions

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

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Machine LearningStart here. 4 questions · ~32 min

Design an RLHF training and evaluation strategy that detects and reduces reward hacking without optimizing blindly for reward-model scores.

Diagnosing Failed Training ObjectivesHard

Explain how you diagnosed a failed training objective and selected a better loss, model, metric, or optimization strategy.

model selectionloss functionsProblem Solving

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Trade-offs in LLM AlignmentHard

Compare SFT, RLHF, DPO, and RLAIF for aligning large language models under quality, safety, cost, and stability constraints.

model selectionTrade-offsDeep Learning

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RL on 3D and CAD DataHard

Explain the challenges of applying reinforcement learning to 3D geometry and CAD models, then propose a practical evaluation approach.

model architecturemodel choiceModel Evaluation

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More topics3 questions · ~24 min

Explain diffusion models clearly, then summarize and critique an unfamiliar research paper after a brief review.

Alignment Metrics Beyond LossHard

Design a practical framework for evaluating alignment using behavioral, safety, helpfulness, and robustness metrics beyond loss.

model performanceevaluation metricssuccess metrics

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Robustness After Post-TrainingHard

Design a practical framework to test whether post-training optimization improved model behavior without harming reliability or generalization.

Evaluation Techniquesmodel performanceevaluation metrics

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