数据算法开发工程师/专家
Tasks
- Build VLM and foundation model based automated labeling pipeline
- Build multimodal data quality rules and standards
- Build sentiment annotation and dialogue emotion labeling
- Clean deduplicate and filter text and speech corpora
- Clean parse and preprocess raw multimodal data
- Create dataset version and data contract management
- Design data quality evaluation metrics and quality gates
- Design data selection deduplication and diversity analysis
- Develop automated data quality checks and anomaly detection
- Develop data preprocessing pipelines for point cloud and video
- Extract entities and relations for knowledge graph construction
- Identify cluster and recall long tail corner cases
- Implement active learning sample selection strategy
- Implement multisensor time synchronization spatial alignment and calibration
- Implement online labeling and confidence based sample screening
- Model data value and analyze scaling curves
- Perform ASR transcription and intent slot entity annotation
- Process LLM pretraining and posttraining data production and quality evaluation
- Run data attribution and ablation experiments
Perks/Benefits
- N/A
Skills/Tech-stack
2D Computer Vision | 3D Computer Vision | ASR | Ablation Study | Active Learning | Anomaly Detection | Attribution Analysis | C plus plus | Cloud processing | Clustering | Computer Vision | Data Deduplication | Data Governance | Data Quality | Data valuation | Entity Relation Extraction | Entity recognition | FFmpeg | Intent Recognition | Knowledge graph | LSH | Language Processing | MCAP | Machine Learning | MinHash | Multimodal Learning | NER | Natural Language | Natural Language Processing | OpenCV | PCL | Point Cloud | Point Cloud Processing | PyTorch | Python | RAG | ROS | ROS2 | Relation extraction | Rosbag | Scaling Law | Sensor Calibration | Sentiment Analysis | SimHash | Spatial Alignment | Speech Processing | Time Synchronization | Triples | VLM
Education
N/A
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