数据挖掘工程师/专家
Tasks
- Build AI models and algorithms
- Build embedding retrieval and vector database capabilities
- Build graph search and multimodal understanding capabilities
- Design technical solutions for perception prediction planning simulation and data loop
- Develop data mining for autonomous driving data
- Develop reusable data mining toolchain and algorithm platform
- Discover scenes from large scale data
- Filter data and extract value
- Improve data production quality inspection evaluation and delivery efficiency
- Mine long tail scenarios and hard examples
- Research and implement deep learning algorithms
- Research and implement machine learning algorithms
- Support large scale data analysis and sample recall
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Anomaly Detection | C++ | CLIP | CNN | Classification | ClickHouse | Clustering | Data Modeling | Deep learning | Doris | Elasticsearch | Embedding | Faiss | Feature Engineering | Flink | GBDT | Graph Neural Networks | Hadoop | Hive | Java | Machine Learning | Milvus | Multimodal Learning | Neural Networks | PyTorch | Python | RAG | RNN | Random Forest | Reinforcement Learning | Sample Selection | Scala | Semi-Supervised Learning | Semi-supervised | Similarity Search | Spark | Supervised Learning | TensorFlow | Transfer Learning | Transformer | Vector Database
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Regions
Countries
States
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