Machine Learning Engineer - Search (NLP) - Singapore

Responsibilities

TikTok Search Multimodel Team focuses on building industry-leading large model-based search technology. With deep expertise in NLP, CV, and multimodal technologies, our team combines engineering practices with academic research to continuously explore cutting-edge applications in search technology. Leveraging TikTok's vast data resources and powerful computing capabilities, our team provides a solid foundation for technological development. Through large models, our team aims to address challenges in complex search scenarios, with technical achievements directly applied to TikTok's search functions to enhance user experience and support business growth.

Responsibilities:
1. Participate in the research and development of international short video search engines, using cutting-edge machine learning algorithms and massive data to make the most exciting technologies and give users the best search experience;
2. Participate in the improvement of international short video search algorithms. Optional directions include:
(1) Explore cutting-edge NLP technologies: from basic word segmentation, NER, to application-based Query analysis, basic correlation, etc., full-link application of deep learning models, every detail is full of challenges;
(2) Cross-modal matching technology: Apply CV + NLP deep learning technology in search to make search have more powerful retrieval capabilities in the above businesses. Engage in the research and development of video search, visual search and other related algorithms, including video content understanding, visual representation learning, multi-modal fusion, etc.;
(3) Personalized search: Apply large-scale machine learning to solve the recommendation problem in search, and make search more personalized and understand you better;
(4) Hundreds of billions of data: from large-scale offline computing, distributed system performance, scheduling optimization, to building high-availability, high-throughput, and low-latency online services, there are in-depth research and innovation.

Qualifications

Minimum Qualifications:
- Bachelor or advanced degree in computer science or a related technical discipline.
- At least 3 years of experience in: Search, Risk Control or NLP
- Excellent coding skills. Solid knowledge of data structure and algorithms.
- Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Preferred Qualifications:
- Publication records in top journals or conferences will be a plus.
- Experience winning ACM-ICPC medals will be a plus.

Responsibilities

Responsibilities

TikTok Search Multimodel Team focuses on building industry-leading large model-based search technology. With deep expertise in NLP, CV, and multimodal technologies, our team combines engineering practices with academic research to continuously explore cutting-edge applications in search technology. Leveraging TikTok's vast data resources and powerful computing capabilities, our team provides a solid foundation for technological development. Through large models, our team aims to address challenges in complex search scenarios, with technical achievements directly applied to TikTok's search functions to enhance user experience and support business growth.

Responsibilities:
1. Participate in the research and development of international short video search engines, using cutting-edge machine learning algorithms and massive data to make the most exciting technologies and give users the best search experience;
2. Participate in the improvement of international short video search algorithms. Optional directions include:
(1) Explore cutting-edge NLP technologies: from basic word segmentation, NER, to application-based Query analysis, basic correlation, etc., full-link application of deep learning models, every detail is full of challenges;
(2) Cross-modal matching technology: Apply CV + NLP deep learning technology in search to make search have more powerful retrieval capabilities in the above businesses. Engage in the research and development of video search, visual search and other related algorithms, including video content understanding, visual representation learning, multi-modal fusion, etc.;
(3) Personalized search: Apply large-scale machine learning to solve the recommendation problem in search, and make search more personalized and understand you better;
(4) Hundreds of billions of data: from large-scale offline computing, distributed system performance, scheduling optimization, to building high-availability, high-throughput, and low-latency online services, there are in-depth research and innovation.

Qualifications

Qualifications

Minimum Qualifications:
- Bachelor or advanced degree in computer science or a related technical discipline.
- At least 3 years of experience in: Search, Risk Control or NLP
- Excellent coding skills. Solid knowledge of data structure and algorithms.
- Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.

Preferred Qualifications:
- Publication records in top journals or conferences will be a plus.
- Experience winning ACM-ICPC medals will be a plus.