Machine Learning Engineer Graduate (TikTok Local Service Search) - 2026 Start (BS/MS)

TIKTOK PTE. LTD.; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A leading social media platform based in Singapore is looking for a graduate to join their Search Team. The successful candidate will work on enhancing user discovery and optimizing search algorithms using machine learning techniques. Candidates should have strong coding skills in C++, Python, or Java and a solid foundation in machine learning. This position offers an excellent career growth opportunity with a competitive compensation package.

Benefits

Yoga and fitness

Stock options

Positive team atmosphere

Career growth opportunity

Paid leave

Flat organization

Competitive compensation

Flexible hours

Qualifications

• Proficient coding skills with strong algorithms and data structures.
• Solid knowledge and practical experience in machine learning.
• Experience in modeling for ads, search engines, or recommender systems.

Responsibilities

• Support local video service business and enhance user discovery.
• Utilize machine learning techniques in search and recommendations.
• Design and implement search algorithms for local services.

Skills

C++

Python

Java

Machine Learning

Effective Communication

Teamwork

Education

Final year or recent graduate in computer science or related field

Job description

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.

Job highlights

Yoga and fitness, Stock options, Positive team atmosphere, Career growth opportunity, Paid leave, Flat organization, 100+ mil users, Industry experts, Competitive compensation, Flexible hours

Responsibilities

Team Introduction

Our Search Team enhances local services by improving user discovery of hospitality, dining, and leisure experiences while driving ecosystem growth. They leverage large-scale machine learning to refine search and recommendation systems, focusing on relevance and query understanding improvement by LLM, CTR/CVR prediction, and optimize LLM powered local service formats in search.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. 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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Support the local video service business to enhance user discovery of life services such as hospitality, dining, and leisure.

- Improve the search experience in local services and promote ecosystem growth.

- Utilize large-scale machine learning techniques in search and recommendation scenarios with billions of users to: Improve user shopping experiences & Enhance conversion efficiency.

- Design and implement local services search algorithms across the full stack, including: Query analysis, relevance, recall, coarse ranking, fine ranking, and blended ranking. Personalized behavior modeling for relevance computation; CTR (Click-Through Rate) prediction, CVR (Conversion Rate) prediction. Vector recall and value blending.

- Utilize LLMs to understand users' complex local service search queries, summarize key points from numerous videos, comments, and POI reviews, and combine all those into structured AI search formats. Get involved in real-world AI applications, by building a revolutionized search experience for local service queries like destination choices, hotel searching, tourism, food & beverage reviews.

Qualifications

Minimum Qualifications:

- Final year or recent graduate with a background in computer science or a related technical discipline.

- Proficient coding skills and strong algorithm & data structure using C++/Python/Java.

- Have a solid knowledge of machine learning and practical experience in applying it.

Preferred Qualifications

- Effective communication and teamwork skills.

- Modeling experience in one or more of the following areas: Ads, Search engine, Recommender System, NLP/CV.

- Have a solid foundation in algorithms related to LLMs, including but not limited to comprehensive learning and practical experience in areas such as single-modal/multi-modal LLM application and deployment.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at [e-mail]