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

About the team

The Search team works on improving how people discover local services such as hotels, restaurants, and leisure activities. The group uses large-scale machine learning to strengthen search and recommendation quality, with an emphasis on better relevance, query interpretation through LLMs, CTR/CVR prediction, and improving LLM-driven local service formats in search.

Role overview

This graduate opportunity is for candidates who want to take on challenging problems, contribute bold ideas, and grow in a fast-moving environment. The role is based in Singapore and is planned for a 2026 start.

Responsibilities

• Help improve discovery experiences for local video service users, especially across hospitality, dining, and leisure categories.
• Contribute to better search experiences that support growth across the local services ecosystem.
• Apply large-scale machine learning to search and recommendation problems serving billions of users, with the goal of improving user journeys and conversion outcomes.
• Build and refine search algorithms across the entire pipeline, including query understanding, relevance, recall, coarse ranking, fine ranking, and blended ranking.
• Work on personalization models for relevance scoring, along with CTR and CVR prediction models.
• Develop vector-based retrieval and value blending approaches for search.
• Use LLMs to interpret complex local service queries, distill useful information from videos, comments, and POI reviews, and convert that into structured AI search outputs.
• Contribute to practical AI features for searches related to destinations, hotel selection, tourism, and food and beverage reviews.

Qualifications

• Completing or recently completed a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a closely related technical field.
• Strong programming ability and a solid grasp of algorithms and data structures in C++, Python, or Java.
• Practical knowledge of machine learning and hands-on experience applying it.
• Good communication skills and the ability to work effectively in a team.
• Modeling experience in one or more of these areas: ads, search engines, recommender systems, NLP, or CV.
• Strong foundation in LLM-related methods, including experience with single-modal or multi-modal LLM applications and deployment.

Application notes

Applicants must be able to begin onboarding by the end of 2026. Candidates should clearly mention their availability and graduation date in their resume.

Each applicant may submit up to two applications globally across the company and its affiliates. Applications are evaluated in the order submitted, and review happens on a rolling basis, so early applications are encouraged.

About the company

Founded in 2012, the company builds products and platforms that help people create, connect, consume, and share content. Its mission is to inspire creativity and enrich life.

Why join

The organization values curiosity, humility, fast iteration, and an “Always Day 1” mindset. It also emphasizes inclusion and diverse perspectives across its global workforce.

Contact and policy

For questions, contact apac-earlycareers@bytedance.com. Submitting an application means agreeing to the global applicant privacy policy.