Salesforce Software Engineering - Search Knowledge Graph 

United States, California, San Francisco 

540285244

Job Category

Software Engineering

Job Details

What You’ll Do

• Develop Sophisticated Search & Knowledge Graph Solutions

• Work on building and optimizing high-performance search and retrieval solutions demonstrating Knowledge Graphs for enterprise-scale environments.

• Contribute to Intelligent Retrieval Pipelines

• Implement hybrid retrieval pipelines combining semantic, vector, and symbolic search to enhance relevance, speed, and accuracy.

• Optimize and Automate Systems

• Participate in automating capacity planning, configuration, and supervising to drive real-time optimization.

• Lead Technical Epics

• Take ownership of key technical epics, ensuring alignment across teams and timely delivery of high-quality solutions.

• Collaborate Across Teams

• Work closely with Product Managers, ML Engineers, and Knowledge Graph experts to deliver scalable, impactful AI driven solutions.

• Drive Innovation in Search and Knowledge Graphs

• Stay updated on emerging technologies, contributing to discussions and experimentation with vector search, graph embeddings, and knowledge-augmented retrieval.

Required Skills

• 5+ Years in Machine Learning & Search Systems

• Strong experience with search optimization, Knowledge Graphs, and innovative retrieval techniques.

• Proficiency in Semantic and Vector-Based Search

• Experience with vector databases (e.g., FAISS, Pinecone, Milvus) and ANN search algorithms to deliver high-relevance results.

• Hands-on NLP & LLMs Expertise

• Practical experience with NLP techniques, prompt engineering, and LLMs for enterprise-scale applications.

• Experience with Knowledge Graphs

• Hands-on experience with graph databases (e.g., Neo4j, Amazon Neptune) and graph embedding techniques to enhance retrieval.

• Strong Programming and ML Framework Skills

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch) for developing scalable AI systems.

Preferred Skills

• Experience with Retrieval Pipelines

• Hands-on experience in building multi-stage retrieval workflows balancing precision and recall.

• Expertise in Retrieval Optimization

• Familiarity with re-ranking, hybrid search, and knowledge augmented retrieval techniques.

• Graph Embedding & Contextual Search

• Experience in implementing graph-based search and context expansion methods for deep, accurate retrieval.

• Knowledge Graph Curation & Management

• Knowledge of schema design, ontology management, and Knowledge Graph curation.

• Feedback Loops and Fine-Tuning

• Experience incorporating user feedback and relevance signals for continuous improvement.

Additional Attributes:

• Broad experience in diverse ML techniques, adaptable for Search and Knowledge Graph use cases.

• Strong collaboration skills with the ability to work across engineering, research, and product teams.

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Posting Statement

does not accept unsolicited headhunter and agency resumes.