Machine Learning Engineer III, Search Relevance
Core
Building scalable, low-latency search infrastructure and ranking systems for intelligent content discovery across billions of files.
Role type
Senior IC machine learning engineer (search relevance)
Builds
Production search services, retrieval pipelines, and ranking models for enterprise content management
Domain
Enterprise content management + information retrieval
Deliverable
production ML models | product features | infrastructure
Required skills
distributed systems, search/ranking/retrieval, data pipelines, microservices, Python, Java/Scala/C++, metrics-driven experimentation
Preferred skills
Elasticsearch/Solr/Lucene, vector search/embeddings, learning-to-rank, Kubernetes/Terraform, cloud platforms, PyTorch/TensorFlow
Technologies
Kafka, Pub/Sub, Elasticsearch, Solr, Lucene, Kubernetes, Terraform, GCP, AWS, Azure, PyTorch, TensorFlow
Responsibilities
Design and iterate ranking/retrieval components; implement production features with embeddings and LLMs; conduct offline/online evaluation and A/B tests; develop microservices and indexing pipelines; own projects from design to rollout; improve data pipelines; document patterns and best practices; participate in on-call rotation
Seniority
Senior, hands-on IC