Machine Learning Algorithm Research Engineer - Soaring Star Talent Program

About the Team and Role

The Research & Development (R&D) Team focuses on creating and upholding advanced products that contribute significantly to business success globally. This role involves addressing complex challenges in scenarios like user growth, social features, e-commerce consumer aspects, live streaming, content creation, and consumption, ensuring rapid scalability across international markets. The team also tackles advanced technical problems in service architecture and infrastructure to maintain system quality, efficiency, and security. Collaboration with leading experts and the development of cutting-edge technology solutions that enhance product metrics and user experiences are key aspects.

Why Join This Team?

• Collaboratively shape both product development and team growth, fostering innovation and impactful outcomes for diverse communities and society.
• Engage with challenging projects that influence the industry and user base globally, introducing innovative technologies to improve experiences for hundreds of millions of users.
• Work within a culture prioritizing practical problem-solving, continuous excellence, and an "Always Day 1" mindset, embracing diversity, equality, agility, and creativity.
• Benefit from a rewards system recognizing excellence and providing opportunities for key project leadership, supporting personal and professional growth.

Project Overview

The position supports the leading global short-video platform’s recommendation systems facing challenges such as new user data sparsity, timeliness of live streaming recommendations, user interest diversity maintenance, and complexities in e-commerce recommendation chains. Issues include cold-start difficulties due to reliance on historical user behavior, demands for sub-30-minute real-time live-streaming content adaptation, and risks of content homogenization fatigue in multi-stage e-commerce funnels.

The initiative aims to leverage large language models (LLMs) and associated large-scale technologies. LLMs will infer potential new user intentions from registration and external data to mitigate cold-start issues, while graph neural networks (GNNs) combined with comprehensive user behavior sequences will refine social preference modeling and interest prediction accuracy. Additionally, long-context understanding and generalized capabilities of large models will simplify e-commerce recommendation pipelines, improve system adaptiveness to real-time changes, and increase the effectiveness of exploratory recommendations. The goal is a streamlined, accurate, and user-retentive recommendation system supporting sustainable business growth.

Qualifications

• PhD in Artificial Intelligence, Computer Science, Mathematics, or related disciplines is required.
• Demonstrated strong programming expertise alongside sound software design and coding skills.
• Excellent problem-solving aptitude, analytical thinking, passion for technological advancement, and solid communication and teamwork capabilities.
• Familiarity with machine learning, natural language processing, and/or data mining required; experience in recommendation systems, computational advertising, or search engines is a significant advantage.

Additional Information

ByteDance, founded in 2012, is dedicated to inspiring creativity and enriching life through numerous products including TikTok, Lemon8, CapCut, Pico, and market-specific platforms. The company culture emphasizes curiosity, humility, impact, continual iteration, and an inclusive global working environment valuing diverse voices to reflect the broad user communities served.