bytedance | Software Engineer | Interview Experience
Interview Date: Not specified
Result: Not specified
Difficulty: Not specified
Interview Process
The interview process began with an outreach from HR, followed by a video interview. The interviewer was friendly and conducted a background check through self-introduction and a deep dive into my experience. I discussed two projects in detail, although the interviewer did not seem very interested. The interview included a machine learning engineer (MLE) design question where I was asked to design a project utilizing 5000 GPUs for recommendation tasks. There were no algorithm questions; instead, I was given a PyTorch-related task to write a small model and implement an activation function, along with a training pipeline that included a data generator, custom loss function, and backpropagation. The interviewer noticed my hesitations and occasionally redirected the conversation. Although I felt uncertain at times, I attempted to outline my thought process. Overall, the experience was challenging due to the lack of guidance throughout the interview.
Technical Questions
- Neural Networks (PyTorch)
Tips & Insights
- Be prepared to explain your thought process clearly, even if you feel uncertain.
- Familiarize yourself with designing scalable machine learning systems, especially with large-scale resources like GPUs.