anthropic | Software Engineer | Interview Experience
Interview Date: Not specified
Result: Not specified
Difficulty: Not specified
Interview Process
The interview consisted of coding and design questions. The candidate was asked to implement a data batcher that could sample weighted data from a given data registry using a sampling API. The second question required the batcher to support checkpointing, and the third question involved handling cases where the batch size was not divisible by the sum of weights.
Technical Questions
- Find Median from Data Stream
- Data Structures
Tips & Insights
The candidate noted challenges with debugging code related to reinforcement learning fundamentals, particularly with issues such as not applying softmax before multinomial sampling and the importance of adding epsilon when calculating normalized advantage. They advised being prepared for in-depth questions regarding the implications of clipping ratios in reinforcement learning.