Overview
Remote
$100,000+
Full Time
Able to Provide Sponsorship
Skills
Apache Kafka
Apache Solr
Microservices
Machine Learning (ML)
Java
Electronic Commerce
Elasticsearch
Search Engineering
Semantic Search
Natural Language Processing
Job Details
rchitect, design, and implement scalable search solutions using Elasticsearch, Solr, and Java for eCommerce platforms.
Develop product relevance ranking algorithms, leveraging machine learning, NLP, and search tuning techniques.
Optimize query performance, indexing strategies, and ranking models to enhance search accuracy and speed.
Implement semantic search, personalized recommendations, and dynamic ranking models to improve user experience.
Work with clickstream data, behavioral analytics, and A/B testing to measure and improve search effectiveness.
Collaborate with data scientists and engineers to integrate AI-driven search enhancements into the platform.
Enhance facet filtering, auto-suggestions, synonym handling, and search result diversification for better user engagement.
Monitor search performance, troubleshoot issues, and implement improvements to support business growth.
Stay up to date with the latest advancements in search technologies, NLP, vector search, and eCommerce trends.
14+ years of experience in search engineering, with a strong focus on Elasticsearch, Solr, and Java.
Proven experience in eCommerce search, product relevance ranking, and personalized search experiences.
Expertise in query understanding, ranking signals, boosting strategies, and dynamic ranking models.
Experience with vector search, NLP, and machine learning-based search optimizations.
Deep knowledge of distributed search architectures, indexing, and scaling strategies.
Strong understanding of RESTful APIs, microservices, and cloud-based search deployments (AWS, Google Cloud Platform, or Azure).
Familiarity with big data processing frameworks (Spark, Kafka) and logging tools for search analytics.
Experience with A/B testing and search metric evaluation (CTR, MRR, NDCG, recall/precision).
Strong problem-solving skills, with the ability to diagnose and optimize complex search performance issues.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.