Lead ML / MLOps Engineer

at Salesforce in Chicago, Illinois, United States

Job Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job CategorySoftware Engineering

Job Details

About Salesforce
We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

Lead Machine Learning Engineer (US Location)
We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.
Join the Marketing AI/ML Algorithms and Applications team within Salesforce's Marketing organization. In this role, you'll have the opportunity to make an outsized impact on Salesforce's marketing initiatives, helping to promote our vast product portfolio to a global customer base, including 90% of the Fortune 500. By driving state-of-the-art ML solutions for our internal marketing platforms, you'll directly contribute to enhancing the effectiveness of Salesforce's marketing efforts. Your ML expertise will play a pivotal role in accelerating Salesforce's growth. This is a unique chance to apply your passion for ML to drive transformative business impact on a global scale, shaping the future of how Salesforce engages with potential and existing customers, and contributing to our continued innovation and industry leadership in the CRM space.
We are seeking an experienced Lead / Staff Machine Learning Engineer to support the development and deployment of high-impact ML model pipelines that measurably improve marketing performance and deliver customer value. In this critical role, you will collaborate closely with Data Science, Data Engineering, Product, and Marketing teams to lead the design, implementation, and operations of end-to-end ML solutions at scale. As a hands-on technical leader, you will own the MLOps lifecycle, establish best practices, and mentor junior engineers to help grow a world-class team that stays at the forefront of ML innovation. This is a unique opportunity to apply your passion for ML and to drive transformative business impact for the world's #1 CRM provider, shaping the future of customer engagement powered by AI.
Responsibilities
Define and drive the overall technical ML engineering strategy for the organization
Lead the design, development, and deployment of ML model pipelines, in collaboration with Data Science and Data Engineering teams
Implement infrastructure-as-code, CI/CD, monitoring, and automation to ensure reliable and efficient ML operations
Own the MLOps lifecycle, including establishing best practices, overseeing model deployment processes, and handling occasional on-call support and incident response for production ML systems
Collaborate closely with Product and Marketing teams to understand business requirements, provide technical feasibility input, and ensure ML solutions are aligned with product roadmaps and deliver measurable business impact
Support the rollout of ML features working with Product and Marketing
Provide technical leadership to develop a team of ML Engineers, and mentor and guide junior ML Engineers to build a high-performing team
Stay at the forefront of ML and data technologies and drive innovation
Position Requirements
MS or PhD in Computer Science, AI/ML, Software Engineering, or related field
8+ years of experience building and deploying ML model pipelines at scale
Expert-level knowledge of... For full info follow application link.

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