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Salesforce
Lead Machine Learning Engineer
San Francisco, California · On-site · Full time · Lead level
$173k–$260k / year
About the role
Lead the development and optimization of scalable machine learning pipelines focused on security and compliance. Drive ML strategy, mentor engineers, and productize generative AI solutions to enhance organizational security.
What you’ll do
• Define and drive technical ML strategy and MLOps practices. • Lead end-to-end ML pipeline development and optimization. • Manage multiple ML pipelines within security and compliance. • Implement infrastructure-as-code, CI/CD, and monitoring solutions. • Collaborate with cross-functional teams and mentor junior engineers.
What you’ll bring
• Masters or PhD in quantitative field. • 6+ years in end-to-end ML system lifecycle. • Expertise in containerization and workflow orchestration. • Proficiency in Python and ML frameworks. • Experience with MLOps, feature engineering, and generative AI production.
Life at Salesforce
Salesforce offers comprehensive benefits including time off, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and employee stock purchasing programs.
About Salesforce
Salesforce is the leading AI CRM company focused on innovation, workforce transformation, and delivering customer success through AI-driven solutions.