【27届校招】智能座舱算法工程师（大模型，北京/上海）
Tasks
- Build RAG retrieval pipelines
- Collaborate on algorithm testing and business experiments
- Conduct experimental comparisons and iterations
- Construct preprocess datasets and labels
- Develop large model core algorithms
- Implement model pretraining and fine-tuning
- Improve model generalization and inference accuracy
- Integrate multimodal fusion methods
- Optimize model training and inference
- Perform data cleaning and quality control
- Train evaluate and report model results
- Tune prompts and alignment
Perks/Benefits
- N/A
Skills/Tech-stack
ASR | Attention | Autogen | Context engineering | CrewAI | Deep learning | DeepSpeed | ESPnet | Fine Tuning | FunASR | Hugging Face | Hugging Face Transformers | Kaldi | Knowledge Base | Knowledge Base Retrieval | Langchain | Llamaindex | Long Context | Machine Learning | Megatron | Milvus | Model Evaluation | Model Fine-tuning | Model Training | Multimodal Learning | Pinecone | Prompt engineering | PyTorch | Python | RAG | Reinforcement Learning | Speech Recognition | Speech synthesis | TGI | TTS | Transformer | VLLM | Vector Databases | WeNet | Weaviate
Education
Regions
Countries
States
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