Machine Learning Engineer Graduate (TikTok Search) - 2027 Start

Machine Learning Engineer Graduate (TikTok Search) - 2027 Start at TikTok in Singapore.

Responsibilities

Team Introduction

Our Search Team is responsible for building and owning our search engine which provides our users the best search experience. On the Search Team, you'll have the opportunity to build a full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, Computer Vision, Multimodal, and Recommender Systems. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.

• AI Search & AI Bot Team: Specializes in LLM application algorithm R&D for TikTok Search, covering core scenarios including AI Search Q&A cards and TikTok's official AI Assistant. We leverage LLM ChatBot, Agent, and RAG technologies to deliver accurate, real-time search responses for users, driving business growth through deep integration of technical innovation and business scenarios.
• Multimodal Large Model Team: Builds industry-leading large model-based search technology, with deep expertise in NLP, CV, and multimodal technology domains. We explore cutting-edge technology applications in complex search scenarios, with technical achievements directly empowering TikTok Search functions to enhance user experience.
• Local Services Search Team: Optimizes Local Service search experience, helping users discover catering, hotel, leisure and other life services. We apply LLM for query understanding, CTR/CVR prediction, local-service ai search card and agentic local service search framework.
• Vertical Search Team: Build a full-stack search engine serving billions of global users, covering vertical scenarios such as photo-text search, user search, live search and music search. The scope also encompasses AI-powered search for standalone apps including Drama and Lemon8. We leverage LLM, NLP, and multimodal understanding technologies to iteratively enhance search quality and system performance.
• Search Ranking Team: By building a full stack search engine system based on advanced AI and machine learning models, we provide industry-leading search experience for billions of global users. We have cutting edge technologies in fields like LLM for Recommendation, Large Ranking Model, Sequence Modeling, Multi-modal Understanding, etc.
• We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
• Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
• Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
• Optimize full-stack algorithms for local services search, including query analysis, relevance, recall, coarse ranking, fine ranking, blended ranking, etc., to improve user search experience and ecosystem growth.
• Improve TikTok core and vertical search (image-text, user, live, etc.) quality, covering the full process of query understanding, content understanding, and ranking.
• Develop search ranking algorithms, combining product objectives with machine learning, AI, NLP/CV technologies to optimize query understanding, video understanding, and result ranking at all levels.
• Optimize e-commerce search recommendation services and models, increase e-commerce search traffic, and enhance user search and purchase cognition.
• Optimize recommendation systems, focusing on hyperscale machine learning models, covering end-to-end workflow from recall, coarse ranking to fine ranking.
• Collaborate with product and infrastructure teams to deliver impactful features on a global scale.

Requirements

• Individuals who are completing or have recently completed a Bachelor's/ Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Proficient in C++/Python/Java, with solid foundation in algorithms and data structures.
• Solid knowledge of machine learning and practical application experience.
• Excellent analytical, modeling and problem-solving skills, with the ability to gain insights into the essence of problems from complex data.

Preferred Qualifications

• Modeling experience in one or more domains: advertising, search engine, recommendation system, NLP/CV.
• Relevant work or project experience in e-commerce, search, recommendation or advertising domains.
• Good communication and team collaboration skills.
• Publication records in top journals/conferences or ACM-ICPC award experience is a plus.
• Good product sense with focus on user experience.

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.