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#Interview #DataEngineer #datascience Resources that are used for preparing for 𝐌𝐋 𝐫𝐨𝐥𝐞𝐬 𝐚𝐭 𝐌𝐞𝐭𝐚 𝐚𝐧𝐝 𝐆𝐨𝐨𝐠𝐥𝐞.
The below resources might seem like 𝐨𝐯𝐞𝐫𝐤𝐢𝐥𝐥, but they gave me the confidence to ace any 𝐌𝐋 𝐢𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰. The investment in understanding 𝐟𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐬 paid off not just in interviews, but in becoming a better ML engineer overall.
Listing down the 𝗯𝗲𝘀𝘁 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 for 𝗠𝗟 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗿𝗲𝗽:
𝟭. 𝗠𝗟 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 - 𝗕𝘆𝘁𝗲𝗕𝘆𝘁𝗲𝗚𝗼
Link: lnkd.in/g88ZQSwj
They have focused problems that teach you how to solve system design interviews with proper structure. Each problem breaks down real-world ML systems (visual search, recommendation engines, etc.) into digestible components. You'll learn how to think about scale, trade-offs, and architecture decisions that Big Tech companies expect you to discuss.
𝟮. 𝗖𝗼𝗱𝗶𝗻𝗴 𝗟𝗟𝗠 𝗳𝗿𝗼𝗺 𝗦𝗰𝗿𝗮𝘁𝗰𝗵 - 𝗔𝗻𝗱𝗿𝗲𝗷 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆
Link: lnkd.in/g6tJh_PB
This isn't just another tutorial - it's a masterclass in understanding how LLMs actually work. Andrej breaks down transformers, attention mechanisms, and training from first principles. After this, you won't just use LLMs, you'll understand them deeply enough to architect solutions around them.
𝟯. 𝗖𝗼𝗱𝗶𝗻𝗴 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹 𝗳𝗿𝗼𝗺 𝗦𝗰𝗿𝗮𝘁𝗰𝗵 - 𝗨𝗺𝗮𝗿 𝗝𝗮𝗺𝗶𝗹
Link: lnkd.in/g4ZgCghB
Duration: 6 hours
Yes, it's long. But it's worth every minute. This acts as an excellent revision of the LLM course above and extends your understanding to multimodal models. Everyone is fascinated by just using model APIs, but having this fundamental knowledge helps you think critically when solving any problem with LLMs in interviews.
𝟰. 𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀 & 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 - 𝗡𝗲𝗲𝘁𝗖𝗼𝗱𝗲
Link: neetcode.io
Most Big Tech companies still ask DSA questions for ML roles. NeetCode provides video solutions for LeetCode's top 150 problems. What makes this special is that each solution teaches you the pattern, not just the answer. You'll learn to recognize problem types instantly during interviews.
𝟱. 𝗗𝗦𝗔 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗕𝘆 𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝘆 - 𝗔𝗱𝗶𝘁𝘆𝗮 𝗩𝗲𝗿𝗺𝗮
Link: lnkd.in/gcPFykw4
This is hands down the best resource for learning DSA patterns. Instead of memorizing solutions, you'll learn the thinking framework behind each category (DP, recursion, sliding window, etc.). Once you understand these patterns, you can tackle any variation that interviewers throw at you.
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