Isomorphic Labs Software Engineer ML interview questions

Spoke with recruiter, who was nice but had limited knowledge of the role. The job was for a ML Performance Engineering position to improve training performance of LLMs. then had a technical interview. The technical interview didn't go well for a variety of reasons; the question was a twist on an algorithms question but a string based one which seems completely irrelevant for the job (what GPU engineer works with strings...?), but the more frustrating part was the interviewer not being able to clearly answer my questions about their coding question; he also kept changing the question away from what was written when I had the correct solution to the written question almost completed. It was a C++ interview and the interviewer said he is not that familiar with C++ which was also very disappointing. I messed up my solution to a certain extent, so agree with not putting me through, but the experience overall was very bad and disappointing due to the lack of clarity by the interviewer.

1. Initial recruiter call 2. Take-home task 3. Tech screen and hiring manager interviews 4. Coding, system design, and culture fit interviews The experience overall was very enjoyable. All interviewers were professional and respectful, and the questions asked were relevant to the role and company.