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      Búsquedas relacionadas: Opiniones sobre Lytx | Ofertas de empleos en Lytx | Sueldos en Lytx | Beneficios en Lytx
      Entrevistas de LytxEntrevistas para el puesto de Machine Learning Engineer en LytxEntrevista de Lytx


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      Entrevista de Machine Learning Engineer

      29 ago 2024
      Empleado anónimo
      Bengaluru
      Oferta aceptada
      Experiencia positiva
      Entrevista normal

      Solicitud

      Solicité el puesto a través de un captador. Acudí a una entrevista en Lytx (Bengaluru) en jul 2024

      Entrevista

      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.

      Preguntas de entrevista [1]

      Pregunta 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?
      Responder pregunta
      3

      Otras opiniones sobre las entrevistas para el puesto de Machine Learning Engineer en Lytx

      Entrevista de Machine Learning Engineer

      26 jun 2020
      Empleado anónimo
      San Diego, CA
      Oferta aceptada
      Experiencia positiva
      Entrevista fácil

      Solicitud

      Solicité el puesto a través de la escuela superior o la universidad. El proceso duró 2 semanas. Acudí a una entrevista en Lytx (San Diego, CA) en nov 2019

      Entrevista

      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.

      Preguntas de entrevista [1]

      Pregunta 1

      Gave two plots, determined which one may be overfitting. What are bias and variance?
      Responder pregunta
      6

      Entrevista de Machine Learning Engineer

      14 oct 2019
      Candidato de entrevista anónimo
      San Diego, CA
      Sin oferta
      Experiencia positiva
      Entrevista normal

      Solicitud

      Envié una solicitud electrónica. El proceso duró 4 semanas. Acudí a una entrevista en Lytx (San Diego, CA) en sept 2019

      Entrevista

      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.

      Preguntas de entrevista [1]

      Pregunta 1

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

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