Machine Learning Engineer Graduate (Global E-Commerce, Search) - 2027 Start

About the Team

Our team manages the search algorithms for a rapidly expanding global e-commerce platform. Utilizing advanced large-scale machine learning technologies alongside the latest NLP, computer vision, and multi-modal techniques, we aim to develop a world-class search engine delivering optimum e-commerce search experiences to over 1 billion monthly users. Our vision is a world where no well-priced product remains difficult to sell.

Role Overview

As a graduate joining the team, you will have the chance to pursue innovative ideas, overcome complex problems, and experience significant professional growth. Candidates must be able to commit to onboarding by the end of the year and clearly indicate their availability and graduation date in their application. Applicants may apply to up to two positions within the company and its affiliates globally. Applications are evaluated continuously, so early application is encouraged.

Responsibilities

• Enhance fundamental search quality and user experience by optimizing query analysis and text relevance matching, understanding e-commerce video content for multi-modal matching, and contributing to core search product design and implementation to improve shopping experiences end-to-end.
• Design and develop the full ranking system covering recall, initial and final ranking stages, and mixed rows to refine personalized shopping interest models and boost conversion rates across merchandise, video, and live streams, ultimately driving GMV growth.
• Support the ecosystem's advancement by addressing challenges such as supply-demand matching, business cold starts, and sustainable expansion to ensure long-term GMV growth.
• Engage in pioneering work on personalized AI search, focusing on engineering solutions, post-training optimization, and automated rubric-based evaluation to create sophisticated search experiences that better interpret user intent and perform intelligent decision-making.
• Collaborate within a team environment applying expertise in statistics, programming, and scripting relevant to the company’s platforms.
• Work closely with deployment software platforms supporting the machine learning models.

Qualifications

• Recent or upcoming Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related field.
• Strong programming abilities with thorough knowledge of data structures and algorithms.
• Excellent skills in data analysis, modeling, and problem-solving to extract core insights from complex data.
• Practical industry experience in machine learning with a strong product focus and understanding of user experience.

Preferred Qualifications

• Self-motivated individuals who can deeply grasp business needs, adapt swiftly to changes, communicate clearly, and drive project execution.
• Publications in leading journals or conferences and achievements such as ACM-ICPC medals are advantageous.

Additional Information

TikTok is a premier short-form mobile video platform with global headquarters in Los Angeles and Singapore and offices worldwide. Our mission is to inspire creativity and bring joy by empowering authentic self-expression, discovery, and connection through innovative products. We value curiosity, humility, and making impactful contributions as a cohesive team. Our culture embraces resilience, rapid iteration, and a continuous "Always Day 1" approach enabling meaningful breakthroughs.

TikTok is fully committed to diversity and inclusion, fostering a workplace where employees’ skills, experiences, and perspectives are embraced to reflect the global communities we serve.