Machine Learning Engineer, RAG

Salesforce is seeking a Principal Machine Learning Engineer to lead the development of next-generation Retrieval-Augmented Generation (RAG) systems. This role is at the forefront of integrating cutting-edge generative AI technologies into enterprise-scale applications. The position involves building sophisticated AI services and components for Agentforce, working with state-of-the-art Large Language Models (LLMs) and knowledge graph technologies.

The ideal candidate will bring 10+ years of ML engineering experience and deep expertise in building production AI systems. You'll be responsible for designing scalable RAG services that can support thousands of tenants, working closely with cross-functional teams including Product Managers, Data Scientists, and Deep Learning Researchers. The role combines technical leadership with hands-on development, requiring both architectural vision and strong coding skills.

Key technical areas include NLP, machine learning models, distributed systems, and modern data processing frameworks. You'll work with technologies like PyTorch, TensorFlow, Kafka, and Spark, while also mentoring other engineers and driving technical decisions. The position offers the opportunity to shape the future of AI applications at enterprise scale, working on products used by millions of users daily.

Based in either San Francisco or Palo Alto, this role offers competitive compensation ranging from $172,000 to $384,100. You'll be part of Salesforce's world-class engineering team, contributing to groundbreaking AI initiatives while collaborating with some of the industry's best minds. The role requires a unique blend of technical depth, leadership skills, and the ability to drive innovation in a fast-paced environment.