Candidatei-me por meio de recrutador(a). O processo levou 3 semanas. Fui entrevistado pela Instacart (Toronto, ON) em set. de 2025
Entrevista
1 round of HR screen, 4 rounds of technical
Technical:
- ML alg knowledge
- Live code - Leetcode style
- Case study: they give you a case
- Retro study: walk them through a past project
Outras avaliações de entrevista de vagas de Machine Learning Engineer da empresa Instacart
The phone screen was surprisingly short, only about 20 minutes, focusing on my background and some general ML concepts. Then came the technical round where I had to design a ranking model for Instacart’s search results. Midway through, it hit me that I had just practiced a very similar problem on PracHub, which made me feel a bit more confident. However, the depth of the discussion, especially around metrics and cold-start items, was intense. In the end, I didn’t receive an offer, but it was a decent experience overall.
Candidatei-me por indicação de um funcionário. O processo levou 4 semanas. Fui entrevistado pela Instacart (Toronto, ON) em fev. de 2025
Entrevista
There are four round in total:
1 code (leetcode easy level)
2 ML concept (focus on fundamental traditional ML stuff)
3 ML system design
4 BQ and project
NDA signed for last two rounds. But the recruiter will tell you the expected topic
Perguntas de entrevista [1]
Pergunta 1
Basic ML concept like l1 l2 norm/loss. concept like recall precision etc.
