Staff Software Engineer, Machine Learning, Search
By Google At , Seattle
Bachelor's degree or equivalent practical experience.
8 years of experience in software development, and with data structures/algorithms.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
5 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, and/or natural language processing.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.
Sr. Systems Engineer (Search)
By AutoZone At Memphis, TN, United States
Expert knowledge in Solr and hands-on experience with MACH architecture.
Utilize your expert knowledge in Solr to build and optimize high-performance search solutions.
Design, develop, and implement industry-leading search experiences to enhance customer satisfaction.
Typically requires 7 to 10 years of experience with a strong focus on search technologies
Hands-on experience with Apache Beam/Spark, showcasing a deep understanding of data processing frameworks.
Passion for delivering top-notch search experiences and driving innovation in the field.
Staff Search Engineer Jobs
By MyFitnessPal At United States
Collaborate closely with product management and other technical leaders in bringing search experience concepts into the hands of millions of users
Build and maintain APIs that drive our user's experience, integrating with services and systems across the MyFitnessPal engineering teams
Substantial development and administration experience in search technology (Elasticsearch, Opensearch, Apache Solr, and/or Algolia)
Experience in performance tuning, query analysis, defining success criteria and metrics, designing ranking and relevance experiments and optimizing Elasticsearch
Knowledge of high availability and disaster recovery options for search
Observed and identified service pain points, priorities, requirements, and success criteria