Machine Learning Engineer III, Search Relevance
Redwood City, CA, United States
USD 175K-219K Senior-level Full Time
Tasks
- Build ranking retrieval and recommendation components for search relevance
- Develop microservices and near real time indexing pipelines
- Document patterns and contribute to best practices for code quality and reliability
- Implement embeddings semantic hybrid search and LLM enabled retrieval features
- Improve batch and streaming data and feature pipelines
- Own projects from design to rollout writing design docs tests and runbooks
- Participate in on call rotation and triage production issues
- Perform offline online evaluation A B tests and relevance tuning
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Batch Processing | C++ | CI/CD | Cloud Native | Data Pipelines | Distributed Systems | Embeddings | Evaluation | Hybrid search | Information Retrieval | Java | Kafka | LLM retrieval | Language Models | Large Language Models | MRR | Machine Learning | Message Queues | Microservices | NDCG | Near real-time indexing | Near-real-time | Observability | Performance Tuning | PrecisionAtK | PubSub | Python | Ranking | Real-time indexing | Recommendations | Scala | Semantic Search | Streaming
Education
Regions
Countries
States
Cities
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