Generative Recommendation Algorithm Engineer

Overview

Generative Recommendation Algorithm Engineer (large models) - Location Product

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• TikTok-Data Video Recommendation Team is responsible for the personalized recommendation algorithms for TikTok's hundreds of millions of global users. Collaborate with top algorithm engineers, leveraging 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. Role aims to pioneer new content and revenue streams for the company.
• Work on recommendation algorithms for international short video-based local services, optimize large-scale recommendation algorithms, solve complex constraint optimization problems, and improve algorithms across content understanding, LLM applications, CV/NLP.
• Design and implement recommendation system architectures for multiple scenarios and conduct in-depth analysis of product data. Explore optimization and enhancement of machine learning algorithms and engage with cutting-edge recommendation system architectures and large recommendation models.
• Drive research directions such as scaling up model parameters, cross-modal alignment and unified representation learning (including recommendation, multi-modal content, and natural language), ultra-long sequence modeling, and generative recommendation models for international local service scenarios.

We creatively connect various products and services related to life through Points of Interest (POI), videos, LIVE, and search, aiming to enrich users’ daily life experiences. We strive for an inclusive and fair business environment, helping businesses, service providers, creators, and other stakeholders to generate more income and improve service efficiency. Through innovation in life services, we aim to shape a better and more fulfilling life.

• Minimum Qualifications: Solid foundation in machine learning and programming, with in-depth research experience in ML, NLP, CV, and proficiency in core algorithms and data structures.
• Experience or strong interest in modeling and aligning multi-modal information (visual, text, audio) to enhance content understanding and user intent matching for deeper semantic understanding.
• Experience with generative + search advertising projects or strong interest in generative technologies; prior work on TIGER generative recall, LRM generative prediction, generative bidding, etc., is a strong plus.
• Prior experience in generative recommendation or search advertising projects, or strong passion for generative technologies, will be given priority.
• Publications in top-tier international conferences (e.g., KDD, SIGIR, RecSys, ACL, NeurIPS) are a plus.
• Strong analytical and problem-solving abilities, enthusiasm for tackling challenging problems, and a passion for technology and innovation.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. Our global headquarters are in Los Angeles and Singapore, with offices in New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Inspiring creativity is at the core of TikTok's mission. Our product helps people authentically express themselves, discover and connect. Our diverse teams make that possible. We strive to do great things with great people, foster curiosity and humility, and pursue meaningful breakthroughs with an "Always Day 1" mindset.

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