about 2 months ago
Base Salary
$185k - $230k/yr
Responsibilities
- Design, develop, and oversee the enterprise search infrastructure.
- Develop deep learning-based NLP algorithms to analyze and reformulate search queries.
- Implement and deploy ranking algorithms for optimal search results.
- Evaluate and optimize algorithm accuracy based on key metrics.
- Track and analyze system performance, leading improvement initiatives.
- Stay updated on industry developments and emerging technologies.
Requirements
- Master's degree in Computer Science or a relevant field; PhD is a plus.
- 5+ years of experience in search, recommendation, or question answering systems.
- In-depth knowledge of relevance measurement, tuning, and modeling.
- Engineering experience with large language models and RAG systems.
- Expertise in Python and/or C++.
- Exceptional problem-solving skills and attention to detail.
- Outstanding communication skills for explaining complex concepts.
- Ability to work independently and as part of a team.
- Familiarity with embedding-based search systems is a major advantage.