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.
Outras avaliações de entrevista de vagas de Machine Learning Engineer da empresa Instacart
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
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.
