In this episode I chat with Richmond Alake. Richmond holds a Masters degree in Computer Vision, Machine Learning and Robotics and is currently a Machine Learning Architect at Slalom Build, London.

This is part one of our conversation where we talked about his educational background, interview experiences, how he secured a computer vision role after job searching for 2 months, unfair advantages and more.

YOU CAN CONNECT WITH RICHMOND VIA: 

LinkedIn  |  Newsletter  |  Medium  |  YouTube

Timestamps:

0:00 - intro

1:48 - meet Richmond

4:08 - machine learning practicioners know this

7:48 - from web developer to machine learning architect

10:05 - an unfair advantage

12:10 - but no one cares?

13:52 - targeting a computer vision role after masters degree

15:37 - the job search

16:49 - the resume

18:10 - building a prototype for the job interview

20:36 - coding interviews, no ds & algo?

21:34 - dealing with rejections

23:20 - top 3 things for your first role

23:51 - his interview success rate from phone screen to offer

25:13 - take home question

28:26 - more unfair advantage?

29:23 - can you become a machine learning engineer in 6 months?

32:45 - how about a year?

35:25 - move on to part two