2027AIDU-语音大模型算法工程师(J99954)
Core
Researching cross-modal data representation, high-quality data extraction, and efficient algorithm-compute fusion to explore end-to-end large models for multi-modal applications.
Role type
Senior IC machine-learning engineer (cross-modal large models)
Builds
Scalable large model platforms and innovative cross-modal applications
Domain
AI / Machine Learning / Cross-modal systems
Deliverable
production ML models
Required skills
cross-modal data representation, high-quality data extraction, algorithm-compute fusion, end-to-end large model development, Python, PyTorch, TensorFlow, PaddlePaddle, machine learning, deep learning, natural language processing, speech processing, computer vision
Preferred skills
ACM/NOI/NOIP competition awards, deep exploration of language/systems/algorithms, top-tier paper publications
Technologies
Python, PyTorch, TensorFlow, PaddlePaddle
Responsibilities
Research cross-modal data representation and data extraction methods; Develop efficient algorithms for compute fusion; Explore end-to-end large model technologies; Support platformization and scaling of large model applications
