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      Entretiens chez LytxEntretiens d’embauche pour Machine Learning Engineer chez LytxEntretien chez Lytx


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      Entretien pour Machine Learning Engineer

      26 juin 2020
      Employé (anonyme)
      San Diego, CA
      Offre acceptée
      Expérience positive
      Entretien facile

      Candidature

      J'ai postulé via un établissement d'enseignement supérieur ou universitaire. Le processus a pris 2 semaines. J'ai passé un entretien chez Lytx (San Diego, CA) en nov. 2019

      Entretien

      Have three rounds of interviews: an online assessment, a phone interview, and an onsite interview. The OA has three questions, one python multiple choice, one Leetcode easy/medium question, one pandas dataframe question. The phone interview will be a manager asking for your experience. The onsite interview contains three questions, one basic machine learning concept question, one bayes rule, one pandas dataframe question.

      Questions d'entretien [1]

      Question 1

      Gave two plots, determined which one may be overfitting. What are bias and variance?
      Répondre à cette question
      6

      Autres retours d’entretien d’embauche pour un poste comme Machine Learning Engineer chez Lytx

      Entretien pour Machine Learning Engineer

      29 août 2024
      Employé (anonyme)
      Bengaluru
      Offre acceptée
      Expérience positive
      Entretien moyen

      Candidature

      J'ai postulé via un recruteur. J'ai passé un entretien chez Lytx (Bengaluru) en juil. 2024

      Entretien

      1. Resume Shortlisting 2. Online Assessment (Hackerrank): a. MCQ questions on ML Basics (machine learning concepts such as algorithms, model evaluation metrics, and data preprocessing.) b. 2 Coding Question (Leetcode medium) 3. Coding Round Interview: After shortlisting from OA, this round was online one to one interview. Couple of coding questions (Parenthesis Matching, Prime number) (Leetcode easy), complexity and further possible optimization. 4. Technical Interview: This round begins with an introduction to the segment Lytx is currently working on and then questions from resume (Project, Interest, Experience), followed by the ML Basics questions [ML Model pipeline, quantization, transfer learning) 5. Managerial Round: Here I met the Hiring Manger of team, a very friendly discussion. Includes motivations for joining the company, reflections on past experiences, strengths, challenges in the field of computer vision Projects from resume discussion. The overall process of round went for a month approx. The HR person is highly supportive and guided at each level of interview round. Lytx is a leading provider in video telematics and safety solutions for fleets. Joining Lytx offers the opportunity to be part of a fast-paced, dynamic environment where cutting-edge technology meets real-world applications.

      Questions d'entretien [1]

      Question 1

      Parenthesis Matching: Write a function to check if parentheses in a string are balanced. Prime Number: Write a function to determine if a number is prime. Discuss the time and space complexity of your solutions. Explore possible optimizations for the implemented solutions. Explain the ML model pipeline from data collection to deployment. What is model quantization and why is it used? Why are you interested in joining Lytx? What are your reflections on past experiences and any mistakes or regrets? What are your key strengths and how do they apply to this role? What challenges do you foresee in the field of computer vision?
      Répondre à cette question
      3

      Entretien pour Machine Learning Engineer

      14 oct. 2019
      Candidat à l'entretien anonyme
      San Diego, CA
      Aucune offre
      Expérience positive
      Entretien moyen

      Candidature

      J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez Lytx (San Diego, CA) en sept. 2019

      Entretien

      I applied to Lytx in the first week of September. Got a telephonic call from HR after 1 week, which was based on my resume review, company culture & the job description. After that, I got a HackerRank test of 2 hours; which comprised of 3 questions: MCQ to test knowledge of basic Python, a coding question which was very easy & a ML coding question where they provided a dataset & you had to make prediction using any ML algorithm of your choice (sklearn was allowed). After that, I had a telephonic Interview with the Hiring manager; which was more technical. He asked me about some ML/DL projects that I have done & went deep into one of those projects including why this approach, why this algorithm etc. Then, he asked me some general ML theory questions. I didn't get selected for the next round, which was supposed to be onsite. But, overall, it was a good Interview experience.

      Questions d'entretien [1]

      Question 1

      MCQ on Python List slicing, coding question on string manipulation(very easy). ML theory questions: How to avoid overfitting, PCA, Bias-Variance tradeoff.
      Répondre à cette question
      1

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