Otter.ai
Senior Software Engineer, Search Recommendation
Otter.ai, Mountain View, California, us, 94039
Senior Software Engineer, Search Recommendation
We're excited to welcome a talented and passionate Senior Search Engineer to join our highly skilled team. The ideal candidate will hold a deep comprehension of Search and Recommendation 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.We're looking for someone who
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.Expertise in Python and/or C++ is essential.Exceptional problem-solving capabilities coupled with meticulous attention to detail.Outstanding communication skills to explain complex concepts convincingly to non-technical team members.Ability to contribute individually while functioning effectively as part of a team.Familiarity with embedding-based search systems will be considered a major advantage.Engineering experience with large language models and RAG systems is a plus.About Otter.ai
We are in the business of shaping the future of work. Our mission is to make conversations more valuable.With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity.Salary rangeSalary Range: $185,000 to $250,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of our comprehensive total rewards package.
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We're excited to welcome a talented and passionate Senior Search Engineer to join our highly skilled team. The ideal candidate will hold a deep comprehension of Search and Recommendation 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.We're looking for someone who
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.Expertise in Python and/or C++ is essential.Exceptional problem-solving capabilities coupled with meticulous attention to detail.Outstanding communication skills to explain complex concepts convincingly to non-technical team members.Ability to contribute individually while functioning effectively as part of a team.Familiarity with embedding-based search systems will be considered a major advantage.Engineering experience with large language models and RAG systems is a plus.About Otter.ai
We are in the business of shaping the future of work. Our mission is to make conversations more valuable.With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity.Salary rangeSalary Range: $185,000 to $250,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of our comprehensive total rewards package.
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