LLM Machine Learning Engineer, Vertical Search Technology - Machine learning Singapore Regular

Pangleglobal; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

Pangleglobal in Singapore seeks an LLM Machine Learning Engineer for the Search Team to build and optimize a full-stack search engine. Responsibilities include enhancing photo-text semantic alignment, engineering implementation and algorithm optimization, and exploring new applications in photo-text relevance. Candidates should hold a Bachelor's degree in a computer-related field, be proficient in C++/Python, and possess strong skills in machine learning and problem solving. Ideal for those passionate about innovative technology applications.

Qualifications

• Bachelor's degree or above in a computer-related major, with excellent coding ability.
• Proficient in programming languages such as C++/Python.
• Solid foundation in machine learning and algorithm design.
• Excellent problem-solving skills and good communication.

Responsibilities

• Focus on solving core pain points in photo-text semantic alignment.
• Responsible for optimizing photo-text relevance and quality.
• Implement engineering and optimize algorithm performance.
• Track technology trends and form technical improvements.

Skills

C++

Python

Machine Learning

NLP

Image Processing

Problem Solving

Education

Bachelor's degree in a computer-related major

Job description

LLM Machine Learning Engineer, Vertical Search

Responsibilities

Our Search Team is responsible for building and owning our search engine which provides our users the best search experience. In our 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.

Core Responsibilities

• Photo-text multi-modal understanding: focus on solving core pain points such as photo-text semantic alignment and cross-modal matching deviation, and integrate photo-text visual features, text semantics and other data.
• Be responsible for the optimization of photo-text relevance and quality, and promote the experience improvement of photo-text in search distribution by combining LLM/VML technologies.
• Engineering implementation and algorithm performance optimization: be responsible for the engineering implementation of photo-text search algorithm models, complete the full-process optimization of model training, inference and deployment, and ensure the online stability of algorithms.
• Track cutting-edge technology trends, carry out technical pre-research and innovative practices combined with photo-text search business scenarios, explore in-depth applications in photo-text semantic understanding and relevance matching, form technical precipitation, and improve the technical competitiveness of the team.

Qualifications

• Bachelor's degree or above in a computer-related major, with excellent coding ability and a solid foundation in data structures and algorithms.
• Familiar with and proficient in programming languages such as C++/Python, and familiar with common data structures and programming algorithms.
• Solid foundation in machine learning and coding ability, strong algorithm design and modeling capabilities, and familiar with at least one of machine learning, data mining, NLP, image processing, multi-modality, and large models.
• Excellent ability to analyze and solve problems, passionate about solving challenging problems, with good initiative and curiosity, and good communication and collaboration skills.

Preferred Qualification

• Understanding of the characteristics of photo-text search business, in-depth understanding of image quality evaluation, photo-text relevance judgment, and multi-modal content understanding; priority is given to candidates with experience in content search and photo-text recommendation in information streams.