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      PhysicsX

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      Ricerche correlate: Recensioni su PhysicsX | Offerte di lavoro di PhysicsX | Stipendi di PhysicsX | Benefit di PhysicsX
      Colloqui di PhysicsXColloqui per Machine Learning Engineer presso PhysicsXColloquio di PhysicsX


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      Le migliori aziende per "stipendio e benefit" vicino a te

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      AnyVan
      4.0★Stipendio e benefit

      Colloquio per Machine Learning Engineer

      30 mar 2026
      Candidato anonimo a colloquio
      New York, NY

      Altre recensioni di colloqui per Machine Learning Engineer presso PhysicsX

      Colloquio per Machine Learning Engineer

      3 giu 2025
      Candidato anonimo a colloquio
      Londra, Inghilterra
      Offerta rifiutata
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso PhysicsX (New York, NY)

      Colloquio

      Initial HR screening, fairly quick. Coderbyte online assessment, 3 leet-code style questions, there was a question involving converting flat vertex data into required mesh format which seemed quite relevant. 3rd stage was a technical interview, spoke with another MLE about past work briefly. Finally there was a live coding interview, thats where it ended for me.

      Domande di colloquio [1]

      Domanda 1

      Mesh dataset for live coding, identify elements, and find the bounding box.
      Rispondi alla domanda
      1
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura online. La procedura ha richiesto 2 mesi. Ho sostenuto un colloquio presso PhysicsX (Londra, Inghilterra) nel mese di mag 2025

      Colloquio

      The interview process was well-structured and consisted of five stages: 1. Introductory chat with HR – alignment on motivation, timeline, and company mission 2. Coding assessment – three problems on Coderbyte 3. Role fit interview – technical discussion to identify the best fit across delivery, product, or research teams 4. Technical assessment – task simulating a typical engineering use case 5. On-stage assessment – presentation of a technical project The entire process took approximately two months.

      Domande di colloquio [1]

      Domanda 1

      Motivational questions about why I was interested in PhysicsX, technical questions on my research publications (e.g. "Why do you think uncertainty prediction is important in Gaussian Processes, and how is it estimated?"), and general questions on data preprocessing.
      Rispondi alla domanda

      Colloquio per Machine Learning Engineer

      21 apr 2025
      Dipendente anonimo
      Offerta accettata
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso PhysicsX

      Colloquio

      Initial screening interview with a recruiter; completed an online coding assessment; introduction call with an MLE where they asked more about my past experience and expectations for a role with PhysicsX; technical interview; final round where I presented about a previous piece of work and was asked STAR-type questions (Tell me about a time when...). Lots of opportunities to ask questions throughout, and I got to meet many of the MLEs throughout the process. I found it enjoyable and engaging process!

      Domande di colloquio [1]

      Domanda 1

      I appreciated the depth to which various interviewers wanted to understand what I was looking to get out of a role with PhysicsX, and ensure that we were a good fit for each other.
      Rispondi alla domanda