🛠 Tech Stack

💼 About This Role

You'll design and optimize enterprise search infrastructure using vector databases, full-text search, and ranking algorithms. Your work will directly impact how users find information through deep learning-based NLP and RAG systems. You'll stay ahead of industry benchmarks by incorporating the latest advancements.

🎯 What You'll Do

• Design and oversee enterprise search infrastructure with vector and full-text search.
• Develop deep learning NLP algorithms for query analysis and suggestion.
• Implement ranking algorithms to deliver relevant results.
• Monitor and optimize system performance and accuracy.

📋 Requirements

• 5+ years of experience in search, recommendation, or QA systems.
• Expertise in Python and/or C++.
• Deep knowledge of relevance measurement and tuning.
• Engineering experience with large language models and RAG.

✨ Nice to Have

• PhD in Computer Science or related field.
• Familiarity with embedding-based search systems.

🎁 Benefits & Perks

• 💰 Competitive salary range of $185k-$230k
• 🏥 Comprehensive total rewards package
• 🌟 Work with cutting-edge AI technology
• 🤝 Equal opportunity employer with inclusive culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min