Advanced Search Engineer

4 days ago

Singapore beBeeResearch Full time $90,000 - $120,000
AI Research Scientist - Search and Retrieval

About us:

  • We are a leading technology company focused on developing innovative search and retrieval solutions.

Job Description:

Search for Meaningful Connections

We seek an exceptional AI research scientist to join our team of innovators. Your mission will be to develop cutting-edge search and retrieval technologies that connect users with the information they need, when they need it.

Key Responsibilities:

  • Design and implement novel algorithms for search ranking and retrieval
  • Develop and evaluate large-scale machine learning models for personalized search results
  • Collaborate with cross-functional teams to integrate search functionality into our products

Requirements:

To succeed in this role, you will need:

  • A Ph.D. in Computer Science, Artificial Intelligence, or related field
  • Proven expertise in machine learning, deep learning, and natural language processing
  • Excellent programming skills in languages such as Python or C++

What We Offer:

  • A dynamic and collaborative work environment
  • Opportunities for professional growth and development
  • Competitive compensation and benefits package

Other Opportunities:

  • Participate in hackathons and innovation challenges
  • Present research at top-tier conferences

Challenge: Personalized Ranking

Traditional ranking algorithms struggle to fully utilize multimodal information (e.g., text, images, video) and have limited model complexity, failing to meet users' demands for precise and personalized search results.

Challenge: Ultra-Large-Scale Retrieval

In retrieval scenarios with candidate libraries containing hundreds of billions of entries, traditional discriminative models face issues such as insufficient model capacity and low indexing efficiency, urgently requiring next-generation retrieval algorithms.

Challenge: Complex Query Understanding

User search intents are becoming increasingly complex. Traditional search engines struggle to accurately interpret the semantics of long/complex sentences and polysemous queries, leading to low satisfaction with search results.

Challenge: Resource Utilization

The storage-computation separation architecture of search systems results in low resource utilization. Optimizing resource usage while maintaining performance has become a critical issue.

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