Lead / Staff ML Engineer

Lead / Staff ML Engineer — Mexico City

We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM and pioneering the next frontier of enterprise AI with AgentForce. In this role, you will drive state-of-the-art ML solutions for our internal marketing platforms to promote our product portfolio to a global customer base and accelerate Salesforce's growth. You will collaborate with Data Science, Data Engineering, Product, and Marketing teams to lead the design, implementation, and operations of end-to-end ML solutions at scale, own the ML lifecycle, establish best practices, and mentor junior engineers to grow a world-class ML engineering team.

Responsibilities

• Define and drive the technical ML strategy with emphasis on robust, performant model architectures and MLOps practices
• Own the ML lifecycle including model governance, testing standards, and incident response for production ML systems
• Establish and enforce engineering standards for model deployment, testing, version control, and code quality
• Implement infrastructure-as-code, CI / CD pipelines, and ML automation with focus on model monitoring and drift detection
• Design and implement comprehensive monitoring solutions for model performance, data quality, and system health
• Lead end-to-end ML pipeline development focusing on optimizing model cost and performance as well as automating training workflows
• Collaborate with Data Science, Data Engineering, and Product Management teams to deliver scalable ML solutions with measurable impact
• Provide technical leadership in ML engineering best practices and mentor junior engineers in ML and MLOps principles

Position Requirements

Seniority level

Employment type

Job function

Industries

#J-18808-Ljbffr