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      Ricerche correlate: Recensioni su Encord | Offerte di lavoro di Encord | Stipendi di Encord | Benefit di Encord
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      Colloquio per Software Engineer

      30 apr 2026
      Candidato anonimo a colloquio
      Londra, Inghilterra
      Nessuna offerta
      Esperienza negativa
      Colloquio nella media

      Candidatura

      Ho presentato la mia candidatura tramite un'altra fonte. Ho sostenuto un colloquio presso Encord (Londra, Inghilterra) nel mese di apr 2026

      Colloquio

      A take home test. My main issue with the company is that I've spent time completing the take home test, and they came back to me with a run-of-the-mill rejection letter.
      1

      Altre recensioni di colloqui per Software Engineer presso Encord

      Colloquio per Software Developer

      28 mag 2026
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho sostenuto un colloquio presso Encord

      Colloquio

      Given take home task. I misunderstood the brief - went for speed of implementation rather than optimization. Task was interesting and I was given quality feedback afterwards despite not passing the round

      Domande di colloquio [1]

      Domanda 1

      Implement this task and send us the repo
      Rispondi alla domanda

      Colloquio per Software Engineer

      22 dic 2025
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza neutra
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso Encord

      Colloquio

      Professional team, but the assessment process feels outdated for an AI role Pros: - Respectful Process: The team was professional and organized throughout. - Good Take-Home: The take-home project was fair, well-scoped, and representative of actual work quality. - Feedback: The team offered a feedback call after the rejection (rare and appreciated). Cons: - Artificial Constraints: The live coding environment prohibits modern tools (Claude, Cursor, ChatGPT, documentation). For an AI-focused company, banning the tools that define modern engineering feels like a missed opportunity to evaluate real world workflow. - Signal Mismatch: There is a disconnect between the take-home and the live rounds. Candidates invest time in a substantial, practical take-home project, yet the hiring decision seems to filter primarily on algorithm recall rather than the engineering skills demonstrated in the work sample. - Outdated Patterns: The live coding optimizes for memorizing specific algorithm patterns rather than the problem-solving or iterative testing used in actual product development. - Industry Comparison: Competitors like Labelbox or Roboflow evaluate via pair programming on real deployment tasks. This process feels closer to generic Big Tech gatekeeping than a modern AI startup assessment. Advice to Management: - Weight the take-home project more heavily. It is a much better indicator of the candidate's actual output than the algorithm rounds. - Update the live coding to reflect modern engineering constraints (i.e., allow AI tools/docs) to see how candidates actually ship code. Advice to Candidates: - Prepare for the Algo Filter: The live coding acts as a hard gatekeeper, even a great take-home won't save you if you fail here. Drill classic LeetCode Medium patterns (especially Matrix/Graph problems) and prioritize this over polishing your project. - Simulate the Constraints: You will be coding without your modern stack (Cursor, Claude, etc.). Practice solving problems in a raw environment without AI or auto-complete to avoid being slowed down by the artificial restrictions.

      Domande di colloquio [1]

      Domanda 1

      Standard LeetCode style matrix manipulation algorithm (e.g. in-place rotation).
      Rispondi alla domanda
      1

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

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      AnyVan
      4.0★Stipendio e benefit