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Interview questions by company and topic | SysRound

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Machine learningMedium
Debug a GRPO training loop and explain ratios
Companies: Anthropic
Reinforcement Learning
Last reported Feb 2026
Open workspace
Machine learningMedium
Compare GRPO and PPO and Explain Sparse Versus Dense Rewards
Companies: Siemens
Fine-Tuning & Alignment Techniques · Reinforcement Learning
Open workspace
Machine learningMedium
Compare Reward-Model RLHF and Direct Preference Optimization
Companies: Mistral AI
Fine-Tuning & Alignment Techniques · Reinforcement Learning
Open workspace

Machine learningHard

Derive and compare core ML and RL methods

Companies: Amazon

ML Fundamentals · Reinforcement Learning

Machine learningMedium

Explain GRPO for LLM Reinforcement Learning and How It Differs from PPO

Companies: ByteDance

Fine-Tuning & Alignment Techniques · Reinforcement Learning

Machine learningMedium

Explain GRPO-style training for diffusion models

Companies: Google

Fine-Tuning & Alignment Techniques · Reinforcement Learning

Machine learningMedium

Explain LLM training, RL, and evaluation

Companies: Cohere

Fine-Tuning & Alignment Techniques · Reinforcement Learning

Machine learningMedium

Explain modern modeling and alignment methods

Companies: Amazon

Fine-Tuning & Alignment Techniques · Reinforcement Learning

Machine learningMedium

Explain SFT, DPO, PPO, and the Role of KL Regularization

Companies: Siemens

Fine-Tuning & Alignment Techniques · Reinforcement Learning

Machine learningHard

GRPO Deep Dive: Critic-Free RL, Parallelism, MLA, and Reward Design for a Reasoning LLM

Companies: Amazon

Fine-Tuning & Alignment Techniques · Reinforcement Learning