光子 AI-模型数据算法专家/负责人-数据方向
Core
Technical lead for model data teams, bridging data governance to model training, and developing algorithms for multimodal data understanding and quality assurance.
Role type
Senior IC machine-learning engineer (multimodal data) with team leadership
Builds
Automated data processing pipelines, data quality evaluation systems, and multimodal data synthesis tools
Domain
Artificial Intelligence / Multimodal Data Engineering
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, TensorFlow), distributed data processing (Spark, Ray, Flink), multimodal data understanding (text, image, video, audio, 3D), data quality methodology, team leadership
Preferred skills
Master's degree in Computer Vision, NLP, or Multimodal fields, 5+ years in model data, experience with TB/PB-scale data
Technologies
PyTorch, TensorFlow, Spark, Ray, Flink
Responsibilities
Define data standards and quality norms; develop algorithms for content understanding, quality detection, deduplication, and data synthesis; build automated data collection and cleaning pipelines; analyze training data to identify and resolve quality issues; lead and guide team members in planning and technical reviews.