Machine Learning Engineer Graduate(TikTok Search) - 2027 Start

TikTok; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

TikTok is seeking talented engineers to join our Search/Algorithm teams in Singapore. You will help build and own our full-stack search engine, combining information retrieval with modern ML methods to deliver accurate, real-time search results for billions of users worldwide.

You will work on multiple teams spanning AI Search, Multimodal LLMs, Local Services, Vertical Search and Ranking, applying NLP, CV and ML to optimize search quality and system performance.

Qualifications

• Bachelor's or Master's degree in software development, computer science, or computer engineering.
• Proficient in C++, Python and Java with strong algorithms and data structures knowledge.
• Solid background in machine learning and practical application experience.
• Analytical, modeling and problem-solving skills to derive insights from complex data.

Responsibilities

• Optimize full-stack algorithms for local services search and improve user search experience.
• Improve TikTok core and vertical search quality across image-text, user, live and related domains.
• Develop search ranking algorithms blending product goals with ML, NLP, CV tech.
• Enhance e-commerce search and recommendations to boost traffic and cognition.
• Collaborate with product and infra teams to deliver features at a global scale.
• Contribute to research and implementation of RAG, LLM-powered search components.

Skills

C++

Python

Java

Algorithms

Data Structures

Machine Learning

Education

Bachelor's/Master's in CS/CE/Software

Job description

Discover a career that energizes and excites you every day.

@2026 TikTok

Algorithm

Location:

Employment Type:

Regular

Job Code:

A231698

Share this listing:

Responsibilities

Team IntroductionOur 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.

Qualifications

Minimum Qualifications:

• 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.

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.