Engineer- Search Team

Target is seeking an Engineer for its Search Team to build and improve large-scale search and discovery experiences used across Target's digital and in-store platforms.

The role focuses on search systems, information retrieval, query understanding, relevance and ranking, semantic search, machine learning, data engineering, MLOps, and scalable distributed systems.

Key Responsibilities

• Develop and maintain scalable search and discovery systems.
• Build software components for large-scale search platforms.
• Work on information retrieval, query understanding, relevance, ranking, and semantic search.
• Develop and maintain search APIs and supporting services.
• Apply machine learning and data science techniques to complex business problems.
• Work with data engineering and MLOps teams on end-to-end search solutions.
• Develop and maintain scalable data pipelines and production ML infrastructure.
• Build reliable and performant services for digital and store search experiences.
• Use data-driven approaches to improve search quality and personalization.
• Design and implement robust software architectures and engineering patterns.
• Participate in software design and code reviews.
• Troubleshoot operational issues and eliminate recurring problems.
• Collaborate with product managers, data scientists, ML engineers, and other engineering teams.

Required Skills

• Kotlin
• Micronaut
• Software Engineering
• Search Systems
• Search Engines
• SOLR
• Elasticsearch
• Kafka
• Kafka Streams
• Information Retrieval
• Query Understanding
• Relevance and Ranking
• Semantic Search
• Search APIs
• Machine Learning
• Data Science
• Data Engineering
• MLOps
• Distributed Systems
• Scalable Software Architecture
• Software Design Patterns
• Data-driven Problem Solving
• Operational Troubleshooting

Preferred Skills

• Experience with Kafka Streams
• Experience with large-scale search platforms
• Experience with machine learning systems
• Experience with data engineering
• Experience with MLOps
• Experience with semantic search
• Experience with relevance and ranking systems
• Experience with distributed systems
• Experience building highly scalable and reliable services