Machine Learning Engineer (Agentic Search & Knowledge Graphs)

Salesforce is seeking a visionary Machine Learning Architect to lead advancements in intelligent Search and Knowledge Graph solutions within their Einstein Foundation team. This role is part of Salesforce's groundbreaking Agentforce initiative, focusing on autonomous AI agents for service, sales, marketing, and commerce. The position requires an expert in Search, Knowledge Graphs, and Large Language Models (LLMs) to drive the evolution of Salesforce's AI systems.

The Einstein Foundation team combines machine learning engineers, data scientists, and software engineers working on adaptive, context-aware systems. The role involves architecting and developing intelligent Search and Knowledge Graph solutions at scale, integrating cutting-edge advancements in machine learning, LLMs, and vector databases.

As a Machine Learning Architect, you'll lead the end-to-end AI lifecycle, from conceptualization through production, focusing on scalable search and retrieval architectures. You'll work with vector databases, graph embeddings, and sophisticated retrieval techniques while collaborating with Product Managers, Data Scientists, and Research teams to deliver innovative AI experiences.

The ideal candidate brings 15+ years of experience in Machine Learning & Search Systems, deep expertise in semantic and vector-based search, and strong knowledge of NLP & LLMs. You'll be working at the world's #1 CRM company, helping shape the future of enterprise AI solutions while having the opportunity to impact millions of users globally.