996 place in China
996 place in China
Free meals and snacks. Nothing more.
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No leadership. The leader won't be happy if you leave early, even if finishing all jobs.
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Long, long, long, long working hours, 60+ hours, too inhuman.
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Arrogant young people everywhere; they don't listen to your advice sometimes.
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Don't care about workers' lives and health. Everything for free was just to make people work long hours. They don't really care about career development.
Stop 996 work hours.
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ByteDance Interview Experiences
Algorithm Engineer
The interviewer first asked about details of past experiences on my resume (professional and research). Then, there were some questions about machine learning theories, recommendation algorithms, and NLP knowledge. At last, I was given an algorithm
Algorithm Engineer
The interview was taken on Sunday. Describe projects done on the resume and answer some questions about machine learning. There were totally 3 turns. Each turn consisted of one question about algorithms and data structures.
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Virtual Interview with live LeetCode Medium/Hard problems. Test fundamentals of ML, such as: * Bias-variance tradeoff * Deep decision tree vs. Random Forest classifier * Precision vs. Recall and what to prioritize in different scenarios
Algorithm Engineer
Beijing, Beijing, ChinaFebruary 17, 2025The interviewer first asked about details of past experiences on my resume (professional and research). Then, there were some questions about machine learning theories, recommendation algorithms, and NLP knowledge. At last, I was given an algorithm
Algorithm Engineer
Beijing, Beijing, ChinaJuly 1, 2018The interview was taken on Sunday. Describe projects done on the resume and answer some questions about machine learning. There were totally 3 turns. Each turn consisted of one question about algorithms and data structures.
Algorithm Engineer
SingaporeAugust 28, 2025Virtual Interview with live LeetCode Medium/Hard problems. Test fundamentals of ML, such as: * Bias-variance tradeoff * Deep decision tree vs. Random Forest classifier * Precision vs. Recall and what to prioritize in different scenarios
