Salesforce, Inc..
Software Engineering - Search and Knowledge Graph
Salesforce, Inc.., San Francisco, California, United States, 94199
Salesforce is seeking a skilled and innovative Senior Member of Technical Staff to contribute to intelligent Search and Knowledge Graph solutions within our Einstein Foundation team. Are you excited to build the next-gen Generative AI platforms that empower enterprise-wide knowledge discovery, enhance AI with knowledge driven context, and enable human-like understanding of relationships through Knowledge Graphs?
As the world’s #1 AI CRM, Salesforce has introduced Agentforce, a groundbreaking suite of autonomous AI agents that transform how we achieve efficiency and customer satisfaction across service, sales, marketing, and commerce. This role focuses on hands-on development and driving technical epics to deliver ground-breaking AI driven experiences for millions of users globally.
The Team
Our Einstein Foundation team is a multidisciplinary group of machine learning engineers, data scientists, and software developers dedicated to creating adaptive, context-aware systems that redefine customer interactions. We value creativity, collaboration, and a commitment to delivering scalable AI driven solutions for customer success.
The Role
You will actively contribute to the design and development of intelligent Search and Knowledge Graph solutions, integrating innovative machine learning, LLMs, and vector databases. You’ll lead technical epics, work hands-on with the development team, and ensure the scalability and reliability of our solutions. Collaborating with Product Managers, Data Scientists, and Research teams, you’ll help shape the future of Salesforce’s AI experiences.
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.
If you’re passionate about building cutting edge AI solutions and contributing to ground-breaking Search and Knowledge Graph systems at the world’s #1 CRM company, we’d love to meet you!
#J-18808-Ljbffr
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.
If you’re passionate about building cutting edge AI solutions and contributing to ground-breaking Search and Knowledge Graph systems at the world’s #1 CRM company, we’d love to meet you!
#J-18808-Ljbffr