Process, Questions & AI Prep Tips
Baidu is China's leading search and AI company, and operates significant US-based engineering teams in AI research, autonomous driving (Apollo), and cloud infrastructure. Interviews emphasize deep learning research, large-scale distributed systems, NLP for Chinese language, and autonomous vehicle technology. Baidu is a major AI research institution with a culture that blends deep academic rigor with product engineering.
A 30-minute call about your background in AI research, search infrastructure, or autonomous systems, and your interest in Baidu's US engineering teams.
A 60-minute coding and technical interview covering algorithms and ML fundamentals. May include research paper discussion for ML roles.
A detailed technical session covering ML research, search system design, autonomous driving perception, or distributed AI training infrastructure.
Two to three rounds with researchers and senior engineers covering technical depth, system design, and collaborative problem-solving.
Design Baidu's web search ranking system that handles billions of Chinese-language queries daily.
How would you build a large-scale pre-training infrastructure for training Ernie Bot (Baidu's LLM)?
Design the Apollo autonomous driving perception pipeline that fuses LiDAR and camera data.
How would you build a Chinese-language semantic search system that handles character segmentation?
Design a distributed training framework for billion-parameter transformer models.
How would you implement a knowledge graph for Baidu Baike (China's Wikipedia)?
Design a real-time bidding system for Baidu's search advertising platform.
How would you build an on-device voice recognition system optimized for Mandarin Chinese?
Design Baidu Cloud's GPU cluster scheduling system for AI training workloads.
Tell me about your most impactful ML research or systems contribution.
Baidu US operations are primarily research-focused — publications, GitHub contributions, and research depth are weighted heavily.
Study Chinese NLP challenges including character tokenization, homophone disambiguation, and how transformer models handle CJK languages differently.
Review Baidu's published research including PaddlePaddle (their deep learning framework), ERNIE models, and Apollo autonomous driving papers.
For autonomous driving roles at Baidu Apollo, study LiDAR point cloud processing, semantic segmentation, and trajectory prediction.
Baidu has a strong ML research culture — expect to discuss the trade-offs and limitations of approaches you propose, not just high-level architectures.
Understanding how US and China AI ecosystems differ (regulatory environment, data availability, deployment constraints) adds valuable context in interviews.
AissenceAI provides AI-powered interview coaching tailored specifically to Baidu's interview process. Practice with realistic mock interviews that mirror Baidu's 4-round format, get real-time feedback on your coding solutions, and receive personalized tips based on your performance.
Get AI-powered mock interviews, real-time coding assistance, and personalized coaching tailored to Baidu's interview process.
Start Preparing Free