Senior Software Engineer, Search & Recommendations
About The Position
We're excited to welcome a talented and passionate Senior Software Engineer to join our highly skilled team. The ideal candidate will hold a deep comprehension of search and recommendations algorithms and infrastructure, including retrieval augmented generation (RAG), semantic search using embeddings, text indexing and retrieval, query understanding, various ranking algorithms etc.. In your crucial role, you'll be responsible for managing every aspect of our sophisticated enterprise search system, spearheading the design, development, and optimization of search system accuracy and performance. Your Impact Design, develop, and oversee our enterprise search infrastructure, employing a mix of vector databases, full-text search engine, and relational database techniques. Understand the user's information needs by developing deep learning-based NLP algorithms to analyze, reformulate and suggest search queries effectively. Design, implement, and deploy various ranking algorithms to deliver the most relevant results with the best user experience. Evaluate and optimize algorithm accuracy by focusing on key metrics.. Constantly track and analyze end-to-end system performance, leading improvement initiatives as required. Stay informed about the latest industry developments and emerging technologies, aligning our search system with, or advancing it beyond, the industry benchmarks.
Requirements
- Holds a Masters degree in Computer Science, or a relevant field, PhD 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 capabilities coupled with meticulous attention to detail.
- Outstanding communication skills to explain complex concepts convincingly to non-technical team members.
- Abilities to contribute individually while functioning effectively as part of a team.
Nice To Haves
- Familiarity with embedding-based search systems will be considered a major advantage.
Responsibilities
- Design, develop, and oversee our enterprise search infrastructure, employing a mix of vector databases, full-text search engine, and relational database techniques.
- Understand the user's information needs by developing deep learning-based NLP algorithms to analyze, reformulate and suggest search queries effectively.
- Design, implement, and deploy various ranking algorithms to deliver the most relevant results with the best user experience.
- Evaluate and optimize algorithm accuracy by focusing on key metrics..
- Constantly track and analyze end-to-end system performance, leading improvement initiatives as required.
- Stay informed about the latest industry developments and emerging technologies, aligning our search system with, or advancing it beyond, the industry benchmarks.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
