No coding and leetcode questions, Only technical depth and breadth questions but they are hard and need strong domain knowledge to explain well. The overall feeling is friendly and respectful.
Perguntas de entrevista [1]
Pergunta 1
Technical details of diffusion model and score-based generative models
Candidatei-me online. Fui entrevistado pela Apple em jan. de 2026
Entrevista
There were 3 interviews with different people from the same team. I was told that there would be a coding round, but in the end they were all discussions about my previous projects. The last interviewer was rude, no show without apology so I had to rescheduled. During the interview, the interviewer immediately questioned that why my previous internships were "short". The interviewer only looked very happy at the end when I finally admitted I don't know the answer to one question. The interviewer also refused to tell me what the team is doing, and the experience as an employee.
Perguntas de entrevista [1]
Pergunta 1
All about my projects, and a lot of data collection questions
Candidatei-me por indicação de um funcionário. Fui entrevistado pela Apple (Seattle, WA) em fev. de 2025
Entrevista
There were two coding rounds, both involving ML coding.
The exact interview questions are provided below. After the two coding rounds, there was a final hiring manager round where we discussed the internship project and different ideas.
Perguntas de entrevista [1]
Pergunta 1
1st round was about fitting different functional forms using a numpy / scikit function fit. The interviewer was basically giving different 2D datasets and testing linear regression, polynomial regression, all the way upto power law fits.
2nd round was simple numpy tensor manipulation, Two numpy tensors were given, and we had to find the mean and covariance matrices based on the given tensors using only standard numpy operations.