Machine Learning Engineer, RAG

Salesforce is seeking a Principal Machine Learning Engineer to join their Einstein Foundation team, focusing on next-generation Retrieval-Augmented Generation (RAG) development. This role is part of a dynamic team comprising data scientists, ML engineers, and software engineers working on cutting-edge generative AI platforms and applications used by millions daily.

The position involves working with sophisticated generative AI services and components to drive the development of Agentforce. You'll be responsible for integrating artificial intelligence and generative AI into advanced RAG technologies, enterprise Knowledge Graphs, and implementing the latest LLM algorithms. The role requires end-to-end AI product development, from design to implementation of scalable deep learning systems.

Working at Salesforce means joining a collaborative team passionate about intelligent agents that enhance customer success. You'll participate in innovative projects, contribute to scalable solutions, and work with cutting-edge AI technologies. The role offers the opportunity to impact millions of users while working with a team that values learning, teaching, and mutual support.

The ideal candidate will bring extensive experience in machine learning engineering, strong programming skills, and a proven track record of delivering results at scale. You'll work in a collaborative environment that encourages both technical excellence and creative thinking, with opportunities to engage in thought-provoking discussions about various topics that blend technology and creativity.

This role offers the chance to work on challenging problems at the forefront of AI technology, with competitive compensation and the opportunity to shape the future of enterprise AI solutions. Join a team that values innovation, collaboration, and technical excellence while working on products that make a real difference in how businesses operate.