Senior Software Engineer
4 weeks ago
We are seeking a highly skilled Software Engineer to help build and enhance a cutting-edge search infrastructure that can scale efficiently to handle increasing data volumes and complex user queries.
Key Responsibilities:
Data Analysis:
Analyze search patterns, user interactions, and relevancy metrics to refine search algorithms and improve the overall user experience.
Developing Search Algorithms:
Implement advanced search algorithms that can process large datasets quickly and accurately, leveraging search engine features such as vector search, natural language processing, personalization, and other state-of-the-art technologies.
Relevancy Model Development:
Collaborate with machine learning and data science teams to optimize relevancy models that improve user search experiences, incorporating feedback loops and behavioral data.
Developing APIs:
Write APIs or services to integrate relevancy feature embeddings into the search engine, and develop efficient, real-time search query logic to capitalize on these embeddings.
A/B Testing and Experimentation:
Implement frameworks for A/B testing to experiment with different search and relevancy approaches, measuring and analyzing the outcomes to drive continuous improvements.
Infrastructure Optimization:
Enhance the search infrastructure to ensure scalability and robustness as the system grows in complexity and usage.
Performance Tuning:
Continuously test and optimize the performance of the search engine to improve query response times, accuracy, and relevancy based on defined metrics.
Integration:
Integrate the search infrastructure with other services and data platforms to enable seamless data retrieval, indexing, and search performance monitoring.
Data Pipeline Management:
Develop and maintain scalable data pipelines to ensure efficient data flow, low-latency indexing, and real-time search capabilities.
Search Result Tuning Based on
Business Metrics:
Collaborate with product and business teams to fine-tune search results to align with business goals like conversion, engagement, and retention.
Technical Collaboration & Leadership:
Provide technical leadership in search technologies, guiding cross-functional projects with data science, engineering, and infrastructure teams.
Requirements:
Technical Skills:
Strong background in computer science, with specific skills in data structures, algorithms, and distributed systems development.
5+ years of experience with search engines such as Elasticsearch, Solr, or similar technologies, and proficiency in leveraging advanced techniques like vector search, NLP, and personalization to build sophisticated, multifaceted relevancy scoring systems.
Experience with A/B testing and experimentation to validate search algorithm changes and drive continuous improvements based on real-world results.
In-depth knowledge of relevancy metrics, including precision, recall, and DCG, and the ability to apply these metrics to improve search performance.
Experience designing large-scale distributed systems, particularly custom search functionalities, and working with cloud technologies like AWS (e.g., EC2, S3, Lambdas).
Experience with search analytics and monitoring tools like Kibana, Grafana, and Datadog, used for tracking and improving search performance.
Experience working in an Agile environment, contributing to continuous integration and delivery pipelines, and familiarity with microservices architecture.
Experience working with data engineers and data science teams to build feedback loops for machine learning models that enhance search relevancy.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status.
We are committed to fostering an inclusive, accessible environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment.
With this in mind, should you need a reasonable accommodation during the application and selection process, please advise us so that we can provide appropriate assistance.
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