Different Roles, Different Focus

In this section, we explore how the emphasis on the four pillars of ML interview success shifts depending on the specific role we’re targeting. The course is designed to help us align our strengths with the expectations of different ML career paths.

• We learn that ML infrastructure roles prioritize software engineering and system design, as these roles focus on building scalable and reliable ML platforms.
• Product-focused ML roles value end-to-end system design and business impact, requiring us to connect our technical solutions directly to user outcomes.
• For research-oriented roles, a deep dive into ML theory and algorithms is essential, with an emphasis on innovation and pushing technical boundaries.
• We’ll identify our personal strengths and tailor our preparation to highlight the most relevant ones for our target role.
• We’ll also work on filling any skill gaps so we can enter interviews with greater confidence and a clear strategy.

If you want to learn even more from Yayun:

• Book 1 on 1 career guidance with her here: https://calendly.com/your-friend-yayun/1on1
• Follow her on LinkedIn: https://www.linkedin.com/in/yayunjin/