Machine Learning Architect - 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 crucial in redefining how Salesforce enables innovative, knowledge-driven experiences across their next-gen AI products. As part of the Einstein Foundation team, you'll work with an interdisciplinary mix of machine learning engineers, data scientists, and software engineers.

The position focuses on architecting and driving the development of intelligent Search and Knowledge Graph solutions at scale, integrating cutting-edge advancements in machine learning, LLMs, and vector databases. You'll be responsible for leading the end-to-end AI lifecycle, from conceptualization through production, with a focus on scalable search and retrieval architectures optimized for enterprise use cases.

Salesforce has recently unveiled Agentforce, a groundbreaking suite of autonomous AI agents that augment employees and handle tasks in service, sales, marketing, and commerce. As an authority in Search, Knowledge Graphs, and Large Language Models (LLMs), you will drive the evolution of Salesforce's AI systems with innovative retrieval, representation, and context expansion technologies that serve millions of users globally.

The ideal candidate will have extensive experience with large-scale search, Machine Learning, and knowledge-driven systems, specifically focused on integrating Knowledge Graphs, search optimization, and sophisticated retrieval techniques. You'll work closely with Product Managers, Knowledge Engineers, and ML Researchers to shape and deliver groundbreaking AI experiences.

This is an opportunity to make a significant impact at the world's leading CRM company, working with cutting-edge technologies and shaping the future of enterprise AI solutions.