Machine Learning Engineer

Overview

Responsibilities: TikTok-Data Video Recommendation Team is responsible for the personalized recommendation algorithms for TikTok's hundreds of millions of global users. Here you will collaborate with top algorithm engineers, leveraging expertise in deep learning, recommendation algorithms, and large models to transform and enhance the TikTok user experience and content ecosystem. The local service recommendation team focuses on targeting user experience and transaction scale optimization for lifestyle service content, including hotels, travel, dining, and more. This role aims to pioneer new content and revenue streams for the company.

About TikTok Location Products: We creatively connect various products and services related to life through Points of Interest (POI), videos, LIVE, and search, making users’ daily life experiences richer and more innovative. We strive to create an inclusive and fair business environment that helps businesses, service providers, creators, and other stakeholders generate more income and improve service efficiency. Through innovation and efforts in life services, we aim to shape a better and more fulfilling life.

1. Develop transaction recommendation algorithms for international local services. Collaborate with the team to build an industry-leading recommendation system, accurately recommending local service products to hundreds of millions of global users, increasing transaction volume, and enhancing the user transaction experience.
2. Proficient in core algorithms related to recommendations, with deep understanding of machine learning, deep learning, and LLMs applied to video, live streaming, geographic location, and product recommendation systems. Optimize recall strategies, model architectures, and multi-objective optimization mechanisms to improve recommendation efficiency and accuracy.
3. Drive integration of local service transaction optimization with industry knowledge. Analyze characteristics of the local services industry (e.g., hotels, travel, dining) and combine industry knowledge with recommendation algorithms to enhance user transaction experiences, improve conversion efficiency, and facilitate scalable GMV growth in local services.
4. Optimize user transaction and decision-making experiences. Conduct in-depth research on user discovery behaviors using data mining and analytical techniques to improve user interactions during transactions and overall experience. Strengthen user trust and loyalty to the platform.

Minimum Qualifications:

• Master’s degree or above in computer science or a related field.
• Strong programming skills with a solid foundation in machine learning/deep learning; experience in recommendation systems, computational advertising, search engines, or LLM-related fields is preferred.
• Passionate about recommendation algorithms and machine learning, with a willingness to learn, think critically, delve deeply, and innovate.
• Excellent problem analysis and solving skills, along with strong communication abilities and a collaborative team spirit.

Preferred Qualifications:

• More than 3 years of experience in the recommendation algorithm domain (preferred).

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, with offices worldwide.

Inspiring creativity is at the core of TikTok's mission. Our innovative product helps people express themselves, discover, and connect. Our diverse teams create value for communities, inspire creativity, and bring joy. We strive to do great things with great people, maintain curiosity and humility, and foster an "Always Day 1" mindset to achieve meaningful breakthroughs.

TikTok is committed to an inclusive space where employees are valued for their skills and perspectives. We celebrate diverse voices and aim to reflect the communities we reach.