Good work-life balance. Apple wellness is great.
Very slow-paced. Quite outdated tech. Leadership is very risk-averse.
My opinion is an ML team should be experimental-centric, prioritizing in shortening experiment cycles, and not be too conservative, even for experiments.
The interviewer started off with some behavioral questions, asking about my experiences and my resume. Then, they moved on to technical questions in NumPy. The interview lasted for a total of 45 minutes.
It is straightforward, even though it feels lengthy: 1. Manager Screening 2. Coding Then, a full loop of interviews containing: * 2 coding rounds * 1 ML Fundamentals round * 1 Hiring Manager round
Applied online and received a message from the recruiter to chat. The interview consisted of four rounds: 1. Recruiter screening. 2. Interview with the hiring manager. 3. Virtual onsite interview with four separate interviews, each lasting about 45
The interviewer started off with some behavioral questions, asking about my experiences and my resume. Then, they moved on to technical questions in NumPy. The interview lasted for a total of 45 minutes.
It is straightforward, even though it feels lengthy: 1. Manager Screening 2. Coding Then, a full loop of interviews containing: * 2 coding rounds * 1 ML Fundamentals round * 1 Hiring Manager round
Applied online and received a message from the recruiter to chat. The interview consisted of four rounds: 1. Recruiter screening. 2. Interview with the hiring manager. 3. Virtual onsite interview with four separate interviews, each lasting about 45