Principal/Lead/Senior Software Engineer - ML Infrastructure

Salesforce is seeking a Principal/Lead/Senior Software Engineer to join their ML Infrastructure team working on the Einstein platform, which democratizes AI across the Salesforce ecosystem. This role is at the forefront of building and scaling AI services that power over a billion predictions daily and support thousands of customers.

The position involves designing and implementing scalable generative AI services that integrate with multiple applications and serve thousands of tenants. You'll be working with cutting-edge technologies including large language models (LLMs) and building the infrastructure that enables rapid AI integration across Salesforce's product suite.

As a senior member of the team, you'll be responsible for driving system efficiencies through automation, capacity planning, and configuration management. The role requires deep expertise in distributed systems, with hands-on experience in technologies like Kubernetes, Kafka, Spark, and cloud platforms. You'll collaborate closely with Product Managers, Architects, and Data Scientists to bring innovative AI solutions to production.

The ideal candidate brings 8+ years of ML engineering experience, strong programming skills in Java/Scala and Python, and a proven track record of building distributed systems at scale. You'll be joining a team that values both technical excellence and creative problem-solving, working on challenges that push the boundaries of AI infrastructure.

This is an exceptional opportunity to shape the future of enterprise AI while working with a world-class team at Salesforce. You'll have the chance to impact how thousands of companies leverage AI in their business processes, while working with the latest technologies in machine learning and distributed systems. The role offers competitive compensation and the opportunity to work from several major tech hubs including San Francisco, Palo Alto, Seattle, and Bellevue.