Otter. ai

AI

SeniorSoftwareEngineer,Search&Recommendations

$185–230k Mountain View, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer, Search & Recommendations at Otter. ai. Skills: search algorithms, recommendations algorithms, retrieval augmented generation (RAG), semantic search, embeddings, text indexing, text retrieval, query understanding, ranking algorithms, vector databases, full-text search engine, relational database techniques, deep learning-based NLP algorithms, large language models, Python, C++. managing every aspect of our sophisticated enterprise search system. spearheading the design, ”

What You'll Achieve.

optimization of search system accuracy and performance; deliver the most relevant results with the best user experience; optimize algorithm accuracy by focusing on key metrics; leading improvement initiatives as required

Industry & Context.

AI
Problems you'll solve

Exceptional problem-solving capabilities

What They're Looking For.

Must Have

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 Have

PhD a plus, Familiarity with embedding-based search systems will be considered a major advantage

What You'll Do.

managing every aspect of our sophisticated enterprise search system

spearheading the design

and optimization of search system accuracy and performance

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

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

How You'll Work.

Team & Collaboration

functioning effectively as part of a team

Communication Scope

Outstanding communication skills to explain complex concepts convincingly to non-technical team members

Full Job Description

The Opportunity 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. 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. 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 func

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