I had a truly bad interview experience with one interviewer at Waymo. The rest of the people I talked with were great.
That particular person would ask a question without stating their assumptions, and when I would ask them which case it was, they refused to respond. Think about this: they refused to answer what their assumptions were. When I'd bring up a counterexample, they would say, "This is a pathological case," well, not really.
They would ask generic questions whose answers depend highly on the specific domain. Basically, the interviewer acted like this: "I have something (a question) in my head that I cannot express clearly, and if you are not able to guess what it is, then you must be a pathological case."
Insanity meets reality. One might say there was a complete vacuum of emotional intelligence on the interviewer's side. Is basic interviewer training too much to ask for?
The interviewer used the interview time to showcase their knowledge (& ego!), instead of actually learning about my skills and what I could bring to the team. I love self-driving tech, and Waymo seems like a great company to work at. Unfortunately, that single individual deprived me of being able to proceed with the interview process and wasted my time.
ML & software-related questions
The following metrics were computed from 1 interview experience for the Waymo ML SWE in a hardware team role in Mountain View, California.
Waymo's interview process for their ML SWE in a hardware team roles in Mountain View, California is extremely selective, failing the vast majority of engineers.
Candidates reported having very negative feelings for Waymo's ML SWE in a hardware team interview process in Mountain View, California.