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Machine Learning Engineer Graduate (Local Service Search) - 2026 Start (Bs/Ms)

Bytedance Pte. Ltd.

D01 Marina, Raffles Place, People's Park, CecilFull TimeS$6,500 – S$13,000/mo

Posted 25 Jul 2026

About this role

About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​ Why Join ByteDance Inspiring creativity is at the core of ByteDance's mission. Our innovative products are 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 enrich life - a mission we work towards every day.​ As ByteDancers, 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. 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​ ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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 our Company. 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 our Company 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: - 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 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 - Eff…

What they're looking for

Information RetrievalMachine LearningLogistic RegressionPipelines

About Bytedance Pte. Ltd.

Industry: Information & communications

Frequently asked questions

What does a Machine Learning Engineer Graduate (Local Service Search) - 2026 Start (Bs/Ms) at Bytedance Pte. Ltd. do?

About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more…

What skills does this Machine Learning Engineer Graduate (Local Service Search) - 2026 Start (Bs/Ms) role need?

Key skills for this role include Information Retrieval, Machine Learning, Logistic Regression, Pipelines.

How much does a Machine Learning Engineer Graduate (Local Service Search) - 2026 Start (Bs/Ms) at Bytedance Pte. Ltd. pay?

This role lists a salary of S$6,500 – S$13,000 per month.

Is this Machine Learning Engineer Graduate (Local Service Search) - 2026 Start (Bs/Ms) role remote, hybrid, or on-site?

The listing is based in D01 Marina, Raffles Place, People's Park, Cecil. Check the posting for remote or hybrid options.

How do I apply for this Machine Learning Engineer Graduate (Local Service Search) - 2026 Start (Bs/Ms) role?

You can apply directly on Bytedance Pte. Ltd.'s careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.