Senior Software Engineer (Search & Recommendations)

• 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
• 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

Benefits

• Compensation: With highly competitive salaries and equity option packages, everyone’s an owner here.
• Hybrid Working: You can mix and match working from our Mountain View or San Francisco office, plus a couple days from home.
• Social Gatherings: Quarterly gatherings in the Bay Area for some team real fun and authentic connection.
• Health and Wellness: Comprehensive medical, dental, vision, life insurance, disability, and wellness benefits that start the first day you do.
• PTO: Start with a minimum of 15 days of paid time off, plus up to 18 weeks for maternity leave and 8 weeks for paternity leave.
• 401(k): Plans to help meet your retirement goals because we care about your future.

• 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
• Expertise in Python and/or C++
• Abilities to contribute individually while functioning effectively as part of a team
• Holds a Masters degree in Computer Science, or a relevant field, PhD a plus
• Outstanding communication skills to explain complex concepts convincingly to non-technical team members
• Engineering experience with large language models and RAG systems
• Familiarity with embedding-based search systems will be considered a major advantage
• In-depth knowledge of relevance measurement, tuning, and modeling
• Exceptional problem-solving capabilities coupled with meticulous attention to detail
• 5+ years of experience in search, recommendation or question answering systems