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

Team Introduction

The Search Team is building a large-scale, full-stack search engine to serve billions of users worldwide. Our mission is to deliver not just relevant results, but an ideal search experience that is fast, personalized, and insightful. We work across both general and vertical search scenarios, including PhotoText, User Search, Live and more — applying Large Language Models (LLMs), NLP, and Multimodal Understanding to continuously push the boundaries of search quality and system design. 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

• Improve core and vertical search quality (e.g., PhotoText, User, Live etc.) across the full stack: query understanding, content understanding, ranking.
• Apply LLMs, NLP, and multimodal models to enhance semantic relevance and intent understanding.
• Collaborate with product and infra teams to deliver impactful features on a global scale.

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.
• Strong coding skills in C++/Python/Java.
• Solid understanding of algorithms and data structures.

Preferred Qualifications

• Experience in one or more of: NLP, Search, Ranking, Ads, Recommender Systems, or Machine Learning.
• Familiarity with LLMs or multimodal learning techniques.
• Strong communication and collaboration skills.