Elevate YourInterview Game

Essential insights and practical strategies to help you excel in machine learning interviews.

What's Inside?

  • Comprehensive breakdown of the ML interview process, including all the major interview sessions: ML Fundamentals, ML Coding, ML System Design, & ML Infrastructure.
  • Proven strategies for approaching and solving a wide range of ML problems, drawing from real-world scenarios.
  • Step-by-step guidance on tackling ML coding challenges, system design questions, and infrastructure design problems.
  • Deep dive into the mindset of interviewers, understanding what they value and how to effectively demonstrate your expertise.
  • Practical examples and case studies showcasing the history of solutions to ML problems, from pioneering approaches to the state of the art.

About Peng

Peng Shao has 15 years of ML leadership experience in social media, ad-tech, fintech, and e-commerce. Having interviewed nearly a thousand candidates, he has a comprehensive understanding of the skills that make a strong ML candidate.

At Twitter, he served as a Staff ML Engineer, designing ML systems behind Twitter's recommendation algorithms and ads prediction. Prior to that, he co-founded a venture-backed AI startup (Roxy) which was acquired in 2019.

Earlier in his career, he led ML teams at Amazon and FactSet. In these roles, he oversaw the development of ML systems including machine translation, tabular information extraction, named entity recognition, and topic modeling.

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