【27届校招】智能座舱算法工程师（大模型，北京/上海）
Tasks
- Build multimodal fusion models
- Conduct research and experimental comparisons
- Create and clean datasets
- Develop machine learning algorithms for large models
- Implement prompt alignment and RAG pipelines
- Improve model generalization and inference accuracy
- Optimize model training and fine-tuning
- Perform data labeling and quality control
- Run model training evaluation and iteration
- Support production deployment of model projects
- Test algorithms with business experiments
- Write experiment documentation and technical reports
Perks/Benefits
- N/A
Skills/Tech-stack
ASR | Attention | Autogen | Context engineering | CrewAI | Deep learning | DeepSpeed | ESPnet | Fine Tuning | FunASR | Hugging Face | Kaldi | LLM Agent | Langchain | Linear Algebra | Llamaindex | Long Context | Machine Learning | Megatron | Memory Mechanism | Milvus | Model Fine-tuning | Model pretraining | Multimodal Learning | Optimization | Pinecone | Probability theory | Prompt engineering | PyTorch | Python | RAG | Reinforcement Learning | Speech Denoising | TGI | TTS | Transformer | VLLM | Vector Databases | WeNet | Weaviate
Education
Regions
Countries
States
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