技能档案

Neural Network Architectures

此技能定义了各角色和级别的期望。

Machine Learning & AI Deep Learning

角色数

包含此技能的角色

级别数

结构化成长路径

必要要求

其余 10 个可选

Machine Learning & AI

Deep Learning

2026/2/22

选择当前级别并对比期望。下方卡片显示晋升所需掌握的内容。

各级别期望

表格展示从初级到首席的技能深度变化。点击行查看详情。

角色	必要性	描述
Data Scientist		Understands basic neural network architectures: MLP, CNN, RNN/LSTM and their applications. Knows components: layers, activations, optimizers, loss functions. Creates simple architectures in PyTorch/Keras for typical classification and regression tasks.
LLM Engineer		Knows main neural network architectures: MLP, CNN, RNN, Transformer. Understands Transformer architecture specifics for language models: self-attention, positional encoding, feed-forward layers.

角色	必要性	描述
Data Scientist		Designs and implements modern architectures: Transformers, U-Net, ResNet, EfficientNet. Applies attention mechanisms, skip connections, residual learning. Selects optimal architecture based on task, data, and production requirements.
LLM Engineer		Independently analyzes and modifies neural network architectures for LLM tasks: adapter layers, custom attention patterns, mixture of experts. Implements architectural modifications in PyTorch.

角色	必要性	描述
Data Scientist		Designs custom architectures for specific business tasks. Applies neural architecture search (NAS), progressive growing, modular design. Optimizes architectures for latency/accuracy trade-off in production deployment.
LLM Engineer		Designs custom neural network architectures for LLM: efficient attention mechanisms, sparse transformers, multi-modal architectures. Conducts ablation studies to optimize architectural decisions.

角色	必要性	描述
Data Scientist		Defines architectural guidelines for the team's deep learning projects. Establishes model zoo with pre-validated architectures. Coordinates research directions and evaluation of new architectural approaches for production use.
LLM Engineer		Defines architectural standards for the LLM team. Establishes architecture selection guidelines, conducts architectural decision reviews, coordinates R&D on new architectures.

角色	必要性	描述
Data Scientist		Shapes neural architecture development strategy for the organization. Defines research direction, evaluates state-of-the-art. Publishes research on new architectures and shapes the organization's scientific leadership.
LLM Engineer		Shapes organizational architectural research strategy. Defines R&D directions for neural architectures, evaluates state-of-the-art approaches, and mentors leads on architectural design.

Junior 2 要求

Data Scientist

Understands basic neural network architectures: MLP, CNN, RNN/LSTM and their applications. Knows components: layers, activations, optimizers, loss functions. Creates simple architectures in PyTorch/Keras for typical classification and regression tasks.
LLM Engineer

Knows main neural network architectures: MLP, CNN, RNN, Transformer. Understands Transformer architecture specifics for language models: self-attention, positional encoding, feed-forward layers.

Middle 2 要求

Data Scientist

Designs and implements modern architectures: Transformers, U-Net, ResNet, EfficientNet. Applies attention mechanisms, skip connections, residual learning. Selects optimal architecture based on task, data, and production requirements.
LLM Engineer

Independently analyzes and modifies neural network architectures for LLM tasks: adapter layers, custom attention patterns, mixture of experts. Implements architectural modifications in PyTorch.

Senior 2 要求

Data Scientist

Designs custom architectures for specific business tasks. Applies neural architecture search (NAS), progressive growing, modular design. Optimizes architectures for latency/accuracy trade-off in production deployment.
LLM Engineer

Designs custom neural network architectures for LLM: efficient attention mechanisms, sparse transformers, multi-modal architectures. Conducts ablation studies to optimize architectural decisions.

Lead / Staff 2 要求

Data Scientist

Defines architectural guidelines for the team's deep learning projects. Establishes model zoo with pre-validated architectures. Coordinates research directions and evaluation of new architectural approaches for production use.
LLM Engineer

Defines architectural standards for the LLM team. Establishes architecture selection guidelines, conducts architectural decision reviews, coordinates R&D on new architectures.

Principal 2 要求

Data Scientist

Shapes neural architecture development strategy for the organization. Defines research direction, evaluates state-of-the-art. Publishes research on new architectures and shapes the organization's scientific leadership.
LLM Engineer

Shapes organizational architectural research strategy. Defines R&D directions for neural architectures, evaluates state-of-the-art approaches, and mentors leads on architectural design.

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