Software Engineering - Search and Knowledge Graph

Salesforce, the world's #1 AI CRM company, is seeking a Senior Member of Technical Staff to join their Einstein Foundation team. This role focuses on developing intelligent Search and Knowledge Graph solutions that power enterprise-wide knowledge discovery and AI-driven experiences. The position is part of Salesforce's initiative with Agentforce, a groundbreaking suite of autonomous AI agents transforming service, sales, marketing, and commerce.

The Einstein Foundation team comprises machine learning engineers, data scientists, and software developers working on adaptive, context-aware systems. The role involves hands-on development of sophisticated search and knowledge graph solutions, integrating machine learning, LLMs, and vector databases. You'll be responsible for leading technical epics, ensuring scalability, and collaborating with cross-functional teams.

Key responsibilities include developing enterprise-scale search solutions, implementing hybrid retrieval pipelines, optimizing systems, and driving innovation in knowledge graphs. The ideal candidate brings 5+ years of experience in machine learning and search systems, with expertise in semantic search, NLP, and knowledge graphs.

This is an opportunity to shape the future of AI experiences at Salesforce, working with cutting-edge technologies and contributing to solutions that impact millions of users globally. The role offers exposure to advanced technologies like vector databases, graph embeddings, and knowledge-augmented retrieval, while working alongside industry experts in a collaborative environment.

The position requires strong technical skills in Python, ML frameworks, and graph databases, combined with the ability to lead technical initiatives and work effectively across engineering, research, and product teams. Join Salesforce to be at the forefront of AI innovation and help build the next generation of intelligent enterprise solutions.