Machine Learning Engineer III, Search Relevance

📋 Description

• Design, build, and iterate ranking, retrieval, and recommendations to reduce latency.
• Implement production features using embeddings, semantic/hybrid search, and LLM retrieval.
• Contribute to offline/online evaluation, A/B tests, and relevance tuning (NDCG/MRR/P@K).
• Develop reliable microservices and near real-time indexing pipelines.
• Own projects from design to rollout with design docs, tests, and runbooks.
• Improve batch/streaming data pipelines for quality and end-to-end performance.

🎯 Requirements

• 3+ years of industry experience building backend or distributed systems with production ownership.
• Proficient in Java, Scala, C++, or Python; production-grade Python a plus.
• Exposure to search, ranking, or applied ML in production; understand training-to-serving.
• Experience with data pipelines or streaming systems (e.g., Kafka, Pub/Sub) and near real-time processing.
• Familiarity with cloud-native microservices, CI/CD, observability, and performance tuning.
• Knowledge of Elasticsearch, Solr, Lucene, or related search systems.

🎁 Benefits

• Equity and comprehensive benefits package.
• In-office collaboration with minimum 3 days/week.
• Pay transparency and accommodations provided.
• Box is committed to fair, inclusive hiring.