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

The Search E-Commerce team is responsible for the search algorithm for our rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly users around the world. Our mission is to build a world where there is no hard-to-sell good-priced product in the world.

Responsibilities - What You'Il Do

Lead the whole Search E-commerce business in one or more of the following core directions:

. Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.

. Design and implement the end-to-end ranking system (recall, pre-rank, rank and mixed rank): Use massive behavioral data to deeply model users personalized shopping interests. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.

. Promote the development of the ecosystem: From the perspective of the industry and merchant/seller, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.

. Monitor the results and quality of the different software solutions and projects implemented in the organisation.

Minimum Qualifications

. 5+ years of industry work experience in one or more of the related fields: NLP, Ranking, Ads, Search Engine, Recommendation systems, and Machine Learning.

. Solid technical skills: 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

. Self-driven, able to deeply understand the business, adapt to rapid business changes, have good personal expression and communication skills, and be able to promote project implementation.

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

. Team management experience is a plus.

Tech Lead, Machine Learning Engineer - Search E-commerce