【27届校招】语音大模型算法工程师（北京/上海）
Tasks
- Build RAG retrieval systems
- Clean and label datasets
- Conduct model experiments and iterate solutions
- Create experiment documentation and technical reports
- Develop large model core algorithms
- Develop multimodal fusion models
- Implement prompt alignment optimization
- Manage dataset quality control
- Optimize model training and fine-tuning
- Perform data pipeline for dataset construction
- Run model training evaluation and analysis
- Support algorithm testing and business experiments
Perks/Benefits
- N/A
Skills/Tech-stack
ASR | Attention | Autogen | CrewAI | Deep learning | DeepSpeed | ESPnet | Fine Tuning | Hugging Face | Hugging Face Transformers | Human Feedback | Kaldi | Langchain | Learning from Human Feedback | Linear Algebra | Llamaindex | Long Context | Machine Learning | Megatron | Milvus | Optimization | Pinecone | Probability theory | Prompt engineering | PyTorch | Python | RAG | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Speech Denoising | Speech enhancement | TTS | Transformer | VLLM | Vector Database | WeNet | Weaviate
Education
Regions
Countries
States
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