5 minutes: Introduction
• 5-10 minutes: Presentation - Discuss your previous experience using slides. Explain technical solutions you have developed in the past. Avoid sharing trade secrets or confidential information.
• 15-20 minutes: Q&A - Address questions related to your presentation, Machine Learning, or Recommendation Systems. This section aims to assess your knowledge and explore any relevant insights from your past experience.
• 20-25 minutes: Live Programming Session - Solve programming questions similar to those found on leetcode.com. Use your preferred code or text editor and share your screen for this exercise.
• 5 minutes: Questions from you - Ask any questions you may have about the company or the position.
Acudí a una entrevista en Huawei Technologies (München, Bavaria)
Entrevista
Very friendly, started with hr, asking me the classic questions , then the technical discussing my projects then general machine learning questions like overfitting, deep learning, and optimizing , Overall good expereience,
Acudí a una entrevista en Huawei Technologies (München, Bavaria)
Entrevista
Interview started with introduction followed by technical questions from my resume experiences and projects. Then some general Machine Learning, Deep Learning and computer vision questions. For example overfitting and under fitting, embedding spaces, unsupervised learning etc.
To be honest was quite nice. Interviewer was genuinely interested in my background and experience. No coding questions but rather open ended project questions and how one could extend existing projects.