Don't Apply for an AI Job in 2026 Until You Watch This L4/L5 Roadmap

Описание: The AI interview changed in 2026 — here's the exact L4/L5 roadmap to get hired at MAANG companies 🚀
Memorizing Transformer papers is no longer enough. To get hired at MAANG in 2026, you need to prove you can ship, optimize, and evaluate complex AI systems.

In this 30-minute masterclass, I break down the exact coding, system design, and product sense questions you will face this year. From writing custom PyTorch DataLoaders to designing Inference Scaling architectures, this is the only roadmap you need.

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Timestamps:
00:00 The Hook: Why Research is Dead
01:00 The New Tech Stack (What to learn)
02:24 Live Coding: Streaming 50TB Datasets
04:30 Model Debugging: Exploding Gradients & NaNs
06:07 System Design: Serving 1M Users (KV Cache)
07:47 Evaluation: How to test Agents (LLM-as-a-Judge)
08:52 Mock Interview: The "Constraint" Question
10:07 The 8-Week Prep Roadmap
11:05 Conclusion

About This Video:

Recruiters have shifted their focus. The "Research Era" is over; the "Engineering Era" is here. This video covers advanced Machine Learning topics including:
Coding: Python Generators, Multiprocessing, and Buffer logic.
ML Ops: Mixed Precision Training (FP16/BF16) and Gradient Clipping.
System Design: Speculative Decoding, PagedAttention, and Distillation.
Alignment: RLHF and Automated Evaluation Metrics (RAGAS).
Resources Mentioned:

Blind 75 for ML Engineers:
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