MTS/SMTS Software Engineer - ML Infrastructure

Salesforce is seeking a Staff-level Machine Learning Infrastructure Engineer to join their Einstein AI platform team. This role focuses on building and scaling AI services that power Salesforce's ML capabilities, which currently handle over a billion predictions daily and support thousands of customers. The position involves working with cutting-edge technologies in generative AI and large language models (LLMs), while building robust infrastructure to support ML operations at scale.

The ideal candidate will have extensive experience in ML engineering and distributed systems, with strong programming skills in Java/Scala and Python. They'll be responsible for designing scalable AI services, implementing MLOps workflows, and working with modern cloud and containerization technologies. The role offers the opportunity to work with leading-edge AI technologies while solving complex technical challenges in a collaborative environment.

Salesforce offers a comprehensive benefits package including medical, dental, vision insurance, 401k, stock purchase options, and various wellness programs. The position provides flexibility with a hybrid work arrangement across multiple locations including San Francisco, Seattle, Bellevue, and Palo Alto. The compensation is highly competitive, with base salary ranging from $125,700 to $334,600 depending on location and experience.

This is an excellent opportunity for experienced engineers who want to impact how AI is deployed at enterprise scale, working with a company that values innovation and maintains a strong focus on customer success. The role combines technical depth with the chance to collaborate across multiple teams and influence the direction of Salesforce's AI infrastructure.