🧠 LAYER 04
04. Foundation Models & Model Assets Developing core frontier assets: Dense/MoE Transformer architectures, Long-Context reasoning, Multimodal generative media, and open model checkpoints.
🔄 Sub-Domain Sequential Path (3 stages):
Transformer architecture evolutions, RoPE long-context scaling, Mixture-of-Experts (MoE) sparse routing, DeepSeek MLA attention, and chain-of-thought reasoning models.
Transformer Evolution & Long-Context Scaling Dense Transformer foundations, KV cache architectures (MHA/GQA/MQA), RoPE position embeddings with YaRN/ALiBi long-context extrapolation, RMSNorm, SwiGLU, and BPE tokenizer designs.
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Transformer GQA / MQA RoPE YaRN SwiGLU RMSNorm Tokenizer Long-Context
💼 Roles & Salary
Research Scientist、ML Research Engineer、LLM Architect、NLP Engineer
💰 $260K - $560K / year (Frontier LLM Research) | ¥800K - ¥2.1M / year
MoE Sparse Routing & MLA Reasoning Architecture Top-k sparse expert routing, auxiliary-loss-free dynamic load balancing, DeepSeek Multi-Head Latent Attention (MLA) low-rank KV compression, and chain-of-thought reasoning models.
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MoE Expert Routing DeepSeek MLA Low-Rank KV Auxiliary Loss Reasoning Model DeepSeek-V3
💼 Roles & Salary
Research Scientist、LLM Architect、ML Research Engineer
💰 $270K - $600K / year (MoE & Reasoning Architectures) | ¥900K - ¥2.4M / year
⚡ 【Mini-Sandbox】FlashAttention Memory Savings
Naive Attention
1,024 MB
O(N²) 显存暴涨
FlashAttention
32 MB
节省 97% 显存 (O(N))
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Vision-Language (CLIP/LLaVA/Qwen-VL), cross-attention multimodal projectors, Diffusion Transformers (DiT) for video, and native full-duplex speech models.
Vision-Language Models (VLM) & Cross-Modal Alignment ViT visual encoders (SigLIP/CLIP), cross-attention multimodal projection layers, visual instruction tuning (LLaVA/Qwen-VL), dynamic high-res image patch splitting, and MMBench evaluation.
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VLM LLaVA CLIP SigLIP Multimodal Projector Qwen-VL Dynamic Patching
💼 Roles & Salary
Multimodal Engineer、Computer Vision Engineer、Research Scientist
💰 $240K - $520K / year (VLM & Multimodal) | ¥700K - ¥1.9M / year
Diffusion / DiT Video Generation & Native Speech AI Diffusion Transformers (DiT), Flow Matching, 3D spatiotemporal VAE compression, native end-to-end full-duplex speech-to-speech models, and generated media provenance watermarking.
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DiT Diffusion Flow Matching Video Generation Audio Codec Native Speech LLM Midjourney
💼 Roles & Salary
Generative Media Researcher、Computer Vision Engineer、Speech Engineer
💰 $250K - $540K / year (Generative Media & Speech) | ¥750K - ¥2.0M / year
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4.3
4.3 Open Model Assets, Licenses & Checkpoint Ecosystem Open Sub-Page ➔ Open model registries (Hugging Face / ModelScope), SafeTensors serialization, LoRA/QLoRA adapter assets, Model Card metadata, and open source license governance.
Open Model Hubs, SafeTensors & Adapter Ecosystem Open weights distribution on Hugging Face & ModelScope, SafeTensors zero-copy secure mmap serialization, LoRA/QLoRA adapter asset management, and universal embedding/reranker artifacts.
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Model Hub SafeTensors LoRA Adapters Embedding Models Rerankers Hugging Face ModelScope
💼 Roles & Salary
Model Release Engineer、ML Tooling Engineer、NLP Engineer
💰 $170K - $340K / year (Model Tooling & Release) | ¥420K - ¥950K / year
Model Card Specs, License Governance & Security Scanning Model Card metadata standards, license governance (Apache 2.0 / MIT / Llama Community License terms), SHA256 integrity checksums, and pickle malware security scanning.
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Model Card License Governance Apache 2.0 Llama License Pickle Scan SHA256 Checksum Security Scanning
💼 Roles & Salary
Model Release Engineer、Model Ecosystem Engineer、ML Tooling Engineer
💰 $160K - $320K / year (Model Governance & Policy) | ¥400K - ¥900K / year