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How to prepare a Machine Learning Interview by Elena Smirnova

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Paris Women in Machine Learning and Data Science
Paris Women in Machine Learning and Data Science

Elena Smirnova from Criteo Research shares some tips on how to get ready for a Machine Learning interview.

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Copyright © 2017 Criteo How to prepare ML interview Elena Smirnova Criteo Research
Copyright © 2017 Criteo ML interviews are special Elena SMIRNOVA Stats question I typically get Describe Kolmogorov-Smirnov test.
Copyright © 2017 Criteo Interviews are FUN • Opportunity to work out a ML problem together with a (maybe future) peer • Get new ways of thinking or a solution you didn't know about • Realize the aspects of your past work you thought you knew everything about..
Copyright © 2017 Criteo What is ML interview?
Copyright © 2017 Criteo We know coding interview Tons of materials for preparation Expectations are set Collabedit, sorting algorithms complexity, generate Fibonacci numbers, design XYZ system..
Copyright © 2017 Criteo ML is trendy Recent successes: superhuman accuracy in cancer prediction, beating human in the of Go, self-driving cars New roles appearing: Data scientist, ML engineer, ML Research
Copyright © 2017 Criteo ML interview Still quite varying in expectations Partly because ML is a combination of Maths, Stats and Computer Science
Copyright © 2017 Criteo ML interview like any other interview
Copyright © 2017 Criteo ML interview like any other interview Goal(Interviewer) = max (information about your technical skills) Goal(Candidate) = max (your technical skills) + max (information about the position and the company)
Copyright © 2017 Criteo ML interview like any other interview Fundamentals We need to talk the same language • Q: What is maximum likelihood principle? • Q: How to optimize a convex function? • Q: How do you do model selection? • ..
Copyright © 2017 Criteo ML interview like any other interview Breadth and depth of skills Depth: typically your past work Breadth: ML questions, often stats, outside of your area of expertise
Copyright © 2017 Criteo ML interview like any other interview Ability to handle practical problems Real world is messy In industry we are interested in practical aspects of implementing your ML solution
Copyright © 2017 Criteo How ML interview is different?
Copyright © 2017 Criteo Your previous work Refresh your recent research / work Comfortable to talk about it in details Think about innovations and limitations Possible applications inside the company Was it me?
Copyright © 2017 Criteo Domain-specific ML Find out about the types of problems the company works on Check out company’s publications / presentations to get an idea of ML approaches used
Copyright © 2017 Criteo ML in the Wild ML assumptions, practical difficulty, scalability issues Try to implement algorithms by your own Take part in competitions and challenges
Copyright © 2017 Criteo Thanks! Come to tackle challenging problems with us! http://labs.criteo.com/jobs/

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How to prepare a Machine Learning Interview by Elena Smirnova

  • 1. Copyright © 2017 Criteo How to prepare ML interview Elena Smirnova Criteo Research
  • 2. Copyright © 2017 Criteo ML interviews are special Elena SMIRNOVA Stats question I typically get Describe Kolmogorov-Smirnov test.
  • 3. Copyright © 2017 Criteo Interviews are FUN • Opportunity to work out a ML problem together with a (maybe future) peer • Get new ways of thinking or a solution you didn't know about • Realize the aspects of your past work you thought you knew everything about..
  • 4. Copyright © 2017 Criteo What is ML interview?
  • 5. Copyright © 2017 Criteo We know coding interview Tons of materials for preparation Expectations are set Collabedit, sorting algorithms complexity, generate Fibonacci numbers, design XYZ system..
  • 6. Copyright © 2017 Criteo ML is trendy Recent successes: superhuman accuracy in cancer prediction, beating human in the of Go, self-driving cars New roles appearing: Data scientist, ML engineer, ML Research
  • 7. Copyright © 2017 Criteo ML interview Still quite varying in expectations Partly because ML is a combination of Maths, Stats and Computer Science
  • 8. Copyright © 2017 Criteo ML interview like any other interview
  • 9. Copyright © 2017 Criteo ML interview like any other interview Goal(Interviewer) = max (information about your technical skills) Goal(Candidate) = max (your technical skills) + max (information about the position and the company)
  • 10. Copyright © 2017 Criteo ML interview like any other interview Fundamentals We need to talk the same language • Q: What is maximum likelihood principle? • Q: How to optimize a convex function? • Q: How do you do model selection? • ..
  • 11. Copyright © 2017 Criteo ML interview like any other interview Breadth and depth of skills Depth: typically your past work Breadth: ML questions, often stats, outside of your area of expertise
  • 12. Copyright © 2017 Criteo ML interview like any other interview Ability to handle practical problems Real world is messy In industry we are interested in practical aspects of implementing your ML solution
  • 13. Copyright © 2017 Criteo How ML interview is different?
  • 14. Copyright © 2017 Criteo Your previous work Refresh your recent research / work Comfortable to talk about it in details Think about innovations and limitations Possible applications inside the company Was it me?
  • 15. Copyright © 2017 Criteo Domain-specific ML Find out about the types of problems the company works on Check out company’s publications / presentations to get an idea of ML approaches used
  • 16. Copyright © 2017 Criteo ML in the Wild ML assumptions, practical difficulty, scalability issues Try to implement algorithms by your own Take part in competitions and challenges
  • 17. Copyright © 2017 Criteo Thanks! Come to tackle challenging problems with us! http://labs.criteo.com/jobs/

Editor's Notes

  1. Do you have any funny stories about your interview?
  2. How many of you have done coding exercises? Do we agree on that?