Lilly Tech Systems
Company-Specific AI Interview Prep
Every company interviews differently. Google tests for ML breadth and Googleyness. Meta emphasizes product sense for AI. Amazon maps everything to Leadership Principles. Anthropic probes alignment thinking. This course gives you real, actionable insights into how each major AI employer runs their interview process — so you can prepare with precision instead of guessing.
Your Learning Path
Understand how each company's AI interview differs, then deep-dive into Google, Meta, Amazon, Microsoft/OpenAI, Anthropic, and startups with real questions and preparation strategies.
1. How Companies Differ
Interview culture by company type (FAANG, AI labs, startups, enterprise), how to research company-specific expectations, and what signals each type values most.
2. Google AI/ML Interview
Full interview process, Googleyness assessment, coding bar, ML breadth and depth questions, system design expectations, sample questions, and insider tips.
3. Meta AI/ML Interview
Interview process, coding style preferences, ML system design emphasis, product sense for AI features, sample questions, and what Meta values differently from Google.
4. Amazon AI/ML Interview
Leadership Principles mapping to AI roles, the bar raiser process, applied science loop, ML system design with business impact, and sample questions.
5. Microsoft/OpenAI Interview
Microsoft AI research and Azure ML roles, OpenAI's unique interview process, the research-plus-engineering blend, and how the partnership affects hiring.
6. Anthropic & AI Labs
Safety-focused interviews, alignment questions, research taste evaluation, technical depth expectations, and sample questions from frontier AI labs.
7. AI Startup Interviews
What startups look for (breadth, ownership, speed), take-home projects, culture fit assessment, equity negotiation, and how startup interviews differ from big tech.
8. Company Research Framework
How to prepare for any company's AI interview, research checklist, FAQ accordion, and a systematic approach to company-specific preparation.
What You'll Learn
By the end of this course, you will be able to:
Navigate Any AI Interview
Understand how FAANG, AI labs, and startups each evaluate AI/ML candidates differently, and tailor your preparation accordingly.
Answer Company-Specific Questions
Practice with real questions from Google, Meta, Amazon, Microsoft, OpenAI, and Anthropic — formatted the way each company actually asks them.
Research Any Company
Apply a systematic framework to research and prepare for any AI company's interview, even ones not covered in this course.
Choose the Right Opportunity
Understand the trade-offs between big tech, AI labs, and startups so you can make informed career decisions about where to apply.