Most interviews were technical. First interview was high-level algorithmic question about designing an algo to find closest point in 2D map with limited informations, and to reason on the complexity of the algo I come up with.
Machine Learning Engineer Interview Questions
6,169 machine learning engineer interview questions shared by candidates
Personality related stuff (standard wonderlic assesment)
What is LoRA? Explain back-propagation? What is the variance bias tradeoff?
Would you be able to relocate?
How do you keep yourself up to date on the latest developments in technology?
Mostly about my prior experience. Case study of machine learning model deployment.
HR started the interview by saying that I should know everything about ml6 already, and that the interview is mostly for her to know me. The interview process includes multiple days of homework which I didn't really appreciate. Arrogant HR
HR questions: - Tell me a situation which has been challenging to work with your team or your client. - Explain to a non-technical audience which project are you working / have you worked in the past months Technical questions: - How have you pre-processed the dataset? - What is transfer learning? - Which techniques can be used to improve model performances?
Tell me about yourself and your experiences.
2. geometry: correspondence assignment and error calculation of two point clouds 3. torch deep learning: improving training of a dummy cv problem with synthetic data
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