Software Engineering - Search and Knowledge Graph

Salesforce is seeking a Senior Member of Technical Staff to join their Einstein Foundation team, focusing on intelligent Search and Knowledge Graph solutions. This role is part of Salesforce, the world's #1 AI CRM, which has introduced Agentforce, a groundbreaking suite of autonomous AI agents. The position involves hands-on development of AI-driven experiences for millions of users globally.

The Einstein Foundation team is a multidisciplinary group combining machine learning engineers, data scientists, and software developers. The role focuses on designing and developing intelligent Search and Knowledge Graph solutions, integrating machine learning, LLMs, and vector databases. You'll lead technical epics and work with Product Managers, Data Scientists, and Research teams.

Key responsibilities include developing sophisticated search solutions, implementing hybrid retrieval pipelines, optimizing systems, and driving innovation in Knowledge Graphs. The ideal candidate should have 5+ years of experience in Machine Learning & Search Systems, proficiency in semantic and vector-based search, and strong programming skills in Python and ML frameworks.

The role offers the opportunity to work on cutting-edge AI solutions at the world's leading CRM company. You'll be part of a team that values creativity, collaboration, and is dedicated to delivering scalable AI-driven solutions for customer success. The position involves working with emerging technologies like vector search, graph embeddings, and knowledge-augmented retrieval.

This is an excellent opportunity for someone passionate about AI and search technologies to make a significant impact in enterprise-scale applications. The role combines technical leadership with hands-on development, making it ideal for those who want to shape the future of AI experiences while working with state-of-the-art technologies.