Name: Creating A Customized Study Plan
Uploaded: 2025-06-03T15:05:32+00:00
Duration: 4 min 38 s
Description: In this segment, we’re guided through how to create an effective, targeted prep plan for ML interviews

Creating A Customized Study Plan

**In this segment, we’re guided through how to create an effective, targeted prep plan for ML interviews. Preparation should be intentional, role-specific, and company-informed.**

- **Create a tailored study plan** based on your target role. Spend 1–2 weeks on behavioral prep, overlap topics wisely, and prioritize deliberate, focused practice.
- **Do company-specific preparation** by researching their tech stack, ML frameworks, and use cases. Read blogs, papers, and talk to current employees to understand their challenges and how they approach ML.
- **For product-focused ML roles**, focus on business impact, case studies, model selection trade-offs, and deep feature engineering—interviewers value end-to-end thinkers.
- **For infrastructure-focused ML roles**, focus on scalable systems, distributed training, MLOps best practices, feature stores, and real-world reliability scenarios like traffic spikes.
- **For research-oriented ML roles**, go deep into recent papers, experimental design, evaluation strategies, and be ready to explain your own contributions with clarity—even to non-experts.

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>
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In this segment, we’re guided through how to create an effective, targeted prep plan for ML interviews

Tech has one of the highest rates of job switching, making this skill incredibly high-leverage and vital to master. Understand what it takes to convince companies you are strongly competent.