5 months ago
Base Salary
$185k - $230k/yr
Responsibilities
- Design, develop, and oversee enterprise search infrastructure using vector databases, full-text search engines, and relational databases.
- Develop deep learning-based NLP algorithms to analyze, reformulate, and suggest search queries.
- Design, implement, and deploy ranking algorithms to improve result relevance and user experience.
- Evaluate and optimize algorithm accuracy using key metrics.
- Track and analyze end-to-end system performance and lead improvement initiatives.
- Monitor industry developments and emerging technologies to advance search capabilities.
Requirements
- Master’s degree in computer science or a relevant field; a PhD is a plus.
- At least 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++.
- Familiarity with embedding-based search systems is a major advantage.
- Strong problem-solving, attention to detail, communication, and collaborative individual-contributor abilities.
Benefits
- Hybrid work arrangement indicated by #LI-Hybrid.
- Equal opportunity employer committed to diversity, inclusion, accessibility, and reasonable accommodations.
Categories
About Otter.ai
Otter.ai builds an AI meeting assistant that records, transcribes, and summarizes meetings and generates action items for teams and professionals. The subscription-based service offers individual, business, and enterprise plans, with apps for web, mobile, and desktop and integrations with Zoom, Google Meet, and Microsoft Teams. Founded in 2016 and headquartered in Mountain View, California, the company is privately held.