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Search Relevance Engineer Jobs (NOW HIRING)

KOMMLINk

OpenSearch Consultant - May 2026

OpenSearch relevance engineering * Multimodal product embeddings * Semantic search optimization * Personalization models * LLM-based query processing * Hybrid lexical/semantic retrieval ...

Workato

Staff AI Engineer

Palo Alto, CA · On-site +1

$215K - $285K/yr

The ideal candidate combines deep expertise in information retrieval and search relevance with ... engineering experience with 3+ years in search, information retrieval, or related fields * Strong ...

Workato

Staff AI Engineer

Palo Alto, CA · On-site

$215K - $285K/yr

The ideal candidate combines deep expertise in information retrieval and search relevance with ... engineering experience with 3+ years in search, information retrieval, or related fields * Strong ...

GovDash

Senior Software Engineer (Search)

New York, NY · On-site

$190K - $220K/yr

About the Role We're hiring a Software Engineer (Search) to help build GovDash's search ... Care deeply about data quality, search relevance, and system reliability. * Are excited to build ...

Workato

Staff AI Engineer

Palo Alto, CA · On-site

The ideal candidate combines deep expertise in information retrieval and search relevance with ... engineering experience with 3+ years in search, information retrieval, or related fields * Strong ...

Workato

Staff AI Engineer

Palo Alto, CA · On-site +1

The ideal candidate combines deep expertise in information retrieval and search relevance with ... engineering experience with 3+ years in search, information retrieval, or related fields * Strong ...

Tubi

Senior Product Manager, Search

San Francisco, CA · Hybrid

$149K - $196.80K/yr

... including ML, engineering, data science, and design, to improve foundational search capabilities and deliver intuitive, high-quality discovery experiences. * Enhance search relevance and ...

Workato

Staff AI Engineer

Palo Alto, CA · On-site

... search relevance. Responsibilities : • Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent • Design and deploy ...

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$87.2K

$136.5K

How much do search relevance engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for search relevance engineer in the United States is $87,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $97,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Search Relevance Engineer, and why are they important?

To thrive as a Search Relevance Engineer, you need a solid understanding of information retrieval, natural language processing (NLP), and machine learning, typically supported by a degree in computer science or a related field. Experience with search platforms like Elasticsearch or Solr, as well as proficiency in programming languages such as Python or Java, are commonly required. Strong analytical thinking, collaboration, and effective communication skills help you work with cross-functional teams and interpret user intent. These skills and qualities are essential for building search systems that deliver accurate, relevant results and significantly improve user satisfaction.

How does a Search Relevance Engineer typically collaborate with data scientists and product managers to improve search results?

As a Search Relevance Engineer, you’ll work closely with data scientists to analyze user behavior and search data, identifying patterns that inform ranking algorithms and relevance improvements. Collaboration with product managers is also essential, as they help define business goals and user requirements, ensuring that your technical solutions align with product objectives. Regular cross-functional meetings, joint brainstorming sessions, and iterative feedback cycles are common practices, fostering a highly collaborative environment where technical and strategic perspectives come together to enhance the search experience.

What is a Search Relevance Engineer?

A Search Relevance Engineer is a specialist who focuses on improving the quality and accuracy of search results within search engines or website search functionalities. Their main goal is to ensure users find the most relevant information based on their queries by fine-tuning algorithms, analyzing search data, and implementing features like ranking signals, synonyms, and personalization. They work closely with data scientists, product managers, and software engineers to continually test and optimize search systems. By enhancing search relevance, they help improve user satisfaction and engagement.
Infographic showing various Search Relevance Engineer job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $87,220 per year, or $41.9 per hour.
Senior Software Engineer (Search / Retrieval)

Senior Software Engineer (Search / Retrieval)

Workato

Palo Alto, CA • On-site

$144K - $189.80K/yr

Full-time

Posted 23 days ago

Job description

About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
  • Business Insider named us an "enterprise startup to bet your career on"
  • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world
  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
  • Quartz ranked us the #1 best company for remote workers

Responsibilities
We are looking for an exceptional Senior Software Engineer (Search / Retrieval) to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You'll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be responsible to:
  • Lead the development of advanced our search cluster that can scale to millions of documents across customers and data sources
  • Deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback.
  • Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval.
  • Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing.
  • Drive improvements in query construction, indexing and search performance
  • Be up-to-date with the latest improvements in search and indexing technologies
  • Collaborate with product and applied research teams to translate user needs into data-informed search innovations
  • Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack.
Requirements
Qualifications / Experience / Technical Skills
  • Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field.
  • 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields
  • Strong proficiency in Python
  • Hands-on experience with search engines (Opensearch or Elasticsearch)
  • Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)
  • Experience with text processing, NLP, and relevance tuning
  • Experience with relevance evaluation metrics (NDCG, MRR, MAP)
  • Experience with large-scale distributed systems
  • Strong analytical and problem-solving skills
Soft Skills / Personal Characteristics
  • Strong communication abilities to explain technical concepts
  • Collaborative mindset for cross-functional team work
  • Detail-oriented with strong focus on quality
  • Self-motivated and able to work independently
  • Passion for solving complex search problems
(REQ ID: 2272)

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