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【27届校招】Omni模型算法工程师/研究员
Xpeng 2
深圳、上海、北京
≈ 491,4 тыс.–491,4 тыс. ₽ · 6,1 тыс.–6,1 тыс. $ · 5,4 тыс.–5,4 тыс. €
41 667 – 41 667 CNY
🏢 Офис
Без опыта
Полная занятость
Продуктовая
Tech
Описание вакансии
Обязанности
•Accelerate inference for low latency
•Apply model compression quantization distillation
•Build multimodal representation and reasoning
•Build next generation intelligent agent systems
•Construct and evaluate multimodal datasets
•Deploy models on edge devices
•Develop multimodal alignment and fusion
•Integrate models with robot perception cognition and control
•Optimize training efficiency and stability
•Perform reinforcement learning for model optimization
•Research multimodal foundation models
•Run instruction tuning and preference alignment
•Train and fine-tune large language models
Технологии: Data Engineering, Distributed Training, Inference acceleration, Instruction Tuning, Knowledge Distillation, Language Model, Large Language Model, Model Compression, Multimodal Learning, Preference alignment, PyTorch, Python, Quantization, Real Time, Real-time Processing, Reinforcement Learning, Speech Recognition, Time processing, Transformer, Vision Language Model, Vision-language