Machine Learning Engineer - Search (NLP) - Singapore

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an Always Day 1 mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About the team

Our 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 company'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 our 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.

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.