Lead Member of Technical Staff - Machine Learning Engineering

Salesforce is seeking a Lead Machine Learning Engineer to spearhead their technical ML initiatives. This role combines technical expertise with leadership responsibilities, focusing on the full lifecycle of ML systems development and deployment. The position offers competitive compensation ranging from $184,000 to $276,100, depending on location and experience.

The ideal candidate will be responsible for defining and executing technical ML strategy, with emphasis on MLOps, infrastructure-as-code, and CI/CD pipelines. They will lead the development of automated ML pipelines, implement monitoring solutions, and ensure robust model performance while working within security and compliance frameworks.

This is an excellent opportunity for an experienced ML engineer with strong leadership capabilities. The role requires both deep technical expertise in machine learning technologies and the ability to mentor junior engineers. The position offers the chance to work with cutting-edge AI technologies while contributing to Salesforce's mission of transforming customer relationships through innovative technology.

The role provides a unique blend of technical challenges and leadership opportunities, working with cross-functional teams including Data Science, Data Engineering, Research, and Product Management. Candidates will have the chance to make significant impact on Salesforce's ML infrastructure while working in a collaborative, values-driven environment that emphasizes both technical excellence and professional growth.

Benefits include competitive compensation, equity opportunities, and comprehensive benefits package. The position offers a hybrid work arrangement with locations in San Francisco and Bellevue, providing flexibility while maintaining connection with the team.