Interview Stages
Round 1: Technical Discussion
- Process: Non-coding technical interview focused on ML/data topics.
- Topics:
- How to determine if noisy data is usable for large models.
- Methods for conducting ablation studies to evaluate data usefulness.
- Follow-up on effective post-training techniques.
- Focus: Practical experience with data filtering and model training. Heavy emphasis on real-world knowledge.
Note: Felt like prior hands-on experience was critical—hard to improvise answers.