Machine Learning Engineer, RAG

Join Salesforce as a Machine Learning Engineer focusing on Retrieval-Augmented Generation (RAG), where you'll be at the forefront of building next-generation AI services. This role offers an exciting opportunity to work on sophisticated generative AI platforms used by millions daily. You'll be instrumental in integrating cutting-edge AI technologies with enterprise Knowledge Graphs and LLM algorithms to develop intelligent agents.

As a Principal Engineer, you'll lead the development of scalable RAG services, working with state-of-the-art AI technologies and collaborating with cross-functional teams. The position requires expertise in machine learning, distributed systems, and a proven track record of delivering complex AI solutions at scale. You'll be responsible for designing and implementing AI systems that can handle thousands of tenants while maintaining high performance and reliability.

The role combines technical leadership with hands-on development, requiring both deep technical expertise and strong collaborative skills. You'll work with various teams, from Product Managers to Data Scientists, contributing to the full AI product development lifecycle. The position offers the opportunity to mentor others, drive technical decisions, and shape the future of AI applications at Salesforce.

This is an ideal role for someone passionate about AI innovation, with strong technical foundations and the ability to tackle complex challenges. The compensation is competitive, ranging from $172,000 to $384,100, reflecting the senior nature of the position. Located in the San Francisco Bay Area, you'll be part of a dynamic team pushing the boundaries of what's possible with AI technology.