AI Industry Interview Prep Guide (twopug.com)

This piece is an interview-prep guide aimed at experienced engineers transitioning into AI roles. Its core message is practical and blunt: interviewing is a distinct skillset that often doesn’t mirror day-to-day engineering, and senior candidates must set aside pride and grind through standardized interview loops. The author shares a Bay Area–focused cheatsheet based on their own prep across multiple companies, emphasizing that much of the process feels formulaic and misaligned with real work—but nonetheless is unavoidable. For the AI/ML community, the guide’s significance is cultural and tactical: it reminds senior practitioners that demonstrating competence in hiring screens requires deliberate practice and adaptation rather than relying solely on past achievements. The main implication is to treat interview preparation as a craft—customize existing templates to your expertise, rehearse standard screens repeatedly, and expect questions that test fundamentals and problem-solving rather than day-to-day systems knowledge. In short, success in AI interviews depends as much on mastering the interview format as on technical depth, so build a personalized cheatsheet and practice until the loop feels familiar.