【字节算法内推】字节跳动tiktok商业化算法实习/社招内推

职位描述

1. Be responsible for business content understanding of ads, e-commerce, short video, live streaming, and other related content understanding, including images, text, video, audio, etc. 2. Be responsible for data mining, feature engineering, and building machine learning models to build monetization ecology. 3. Optimize model computation efficiency and improve model stability when facing tens of millions of business data and restricted resources. 4. Based on billion scale business data, explore and implement various cutting-edge technologies, such as pre-training, self-supervised learning, few-shot learning, etc.

职位要求

1. Bachelor's degree or above, majoring in Computer Science, Computer Engineering, Electrical Engineering, or other related fields.

2. Have a solid foundation with common machine learning and deep learning related techniques and algorithms (e.g. classification, clustering, regression, etc.). Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow).

3. Be familiar with computer vision related tasks. Have rich experience in at least one aspect, such as image/video classification, object detection, image/video retrieval, OCR, image segmentation, etc.

4. Related experience in at least one of the following areas is a plus:

- 1. Be familiar with NLP-related tasks. Have experience in at least one aspect, such as text classification, semantic analysis, sentiment analysis, NER, etc.

- 2. Be familiar with audio-related tasks. Have experience in at least one aspect, such as ASR, AED, LID, etc.

- 3. Be familiar with multimodal machine learning, large-scale pre-training, etc.

- 4. Be familiar with the theory and application of graph neural networks, knowledge graphs, and have relevant experience;

- 5. Be familiar with model acceleration techniques such as pruning, quantization, distillation, etc.; Have relevant experience in deploying models using frameworks such as TensorRT.

5. Solid programming foundation. Be familiar with basic data structures and algorithms.

6. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills. Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability.

7. Having published papers in top AI conferences or journals is a plus.

日常实习生要求具有较好的机器学习基础，涉猎方向为CV、NLP、多模态、图网络、音频之一，有较高的主动性和较强的动手能力。实习时间没有硬性规定，6个月以上更好，因为这样更容易做出更完整的成果。若想了解更多信息，欢迎在邮件中说明并留下联系方式。