Software Engineering SMTS

Salesforce, the world's leading CRM platform, is seeking a Machine Learning Engineer for their Service Protection team to enhance system resiliency and high availability. This role combines software engineering with machine learning expertise, focusing on detecting anomalies and automating resolution in their multi-tenant cloud computing system.

The position offers an exciting opportunity to work on infrastructure that handles over 6 billion daily transactions. You'll be part of a world-class team applying machine learning to core infrastructure software, improving speed, scale, and high availability. The role involves working with talented distributed systems engineers to train and deploy ML models for real-world availability and scalability challenges.

Salesforce is renowned for its innovative approach, being named one of Forbes's "World's Most Innovative Company" five years running and one of Fortune's "100 Best Companies to Work For" eight consecutive years. The company's foundation rests on three revolutionary ideas: cloud computing technology, pay-as-you-go business model, and integrated corporate philanthropy.

As part of the Salesforce Ohana (Hawaiian for "family"), you'll contribute to improving the state of the world while working with cutting-edge compute and distributed multi-tenant systems. The company's rapid growth as the fastest growing enterprise software company among the top 10 presents incredible career advancement opportunities.

The ideal candidate will possess strong mathematical and analytical skills, extensive experience with machine learning frameworks, and the ability to work effectively in an agile environment. This role offers the chance to make a significant impact on critical infrastructure while being part of a company committed to customer success and innovation.