Machine Learning Engineer (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. The position sits within the Einstein Foundation team, an interdisciplinary group of ML engineers, data scientists, and software engineers working on adaptive, context-aware systems.

The role involves 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. The successful candidate will lead the end-to-end AI lifecycle, from conceptualization through production, focusing on scalable search and retrieval architectures optimized for enterprise use cases.

Key responsibilities include leading sophisticated search & knowledge graph solutions, developing intelligent retrieval pipelines, optimizing search systems, and pioneering innovations in vector search and graph embeddings. The role requires extensive experience with large-scale search systems, deep knowledge of vector databases, strong NLP & LLM background, and expertise in graph databases.

Salesforce, recently unveiled Agentforce, a groundbreaking suite of autonomous AI agents for service, sales, marketing, and commerce. This role offers the opportunity to work at the forefront of AI innovation, serving millions of users globally while contributing to the world's leading CRM platform. The position combines technical leadership with cross-functional collaboration, making it ideal for someone passionate about Search, Knowledge Graphs, and innovative AI solutions.