Lead Machine Learning Engineer - Marketing Mix Modeling

About the position

This role is part of Adobe's Global Marketing Organization (GMO), specifically within the Growth Marketing and Insights organization (GMI). We are seeking a highly experienced Lead Machine Learning Engineer to design, develop, and deploy advanced causal Marketing Mix Models (MMM) for Adobe's global businesses. These models are crucial for guiding Adobe's quarterly and yearly marketing budget decisions and generating insights that drive business growth. The primary goal of this role will be to build foundationally solid models that can be refreshed frequently in the production environment. This role will collaborate with cross-functional teams, including analytics, marketing execution, and engineering.

Responsibilities

• Develop both descriptive and predictive MMMs that accurately measure the incremental impact of marketing and non-marketing drivers
• Expand our modeling solutions to support a growing number of geographic locations and product groups
• Integrate additional measurement methodologies and data to ensure accurate measurement of marketing Return on Investment
• Balance technical capabilities with practical business needs
• Measure both short- and long-term impact of marketing to guide budget allocation across funnel stages to drive sustainable business growth
• Communicate model results effectively to partners and executives
• Continuously improve modeling techniques and capabilities as the analytical landscape evolves
• Collaborate with marketing execution and analytics leadership to translate business questions into econometric approaches

Requirements

• MS/PhD in Economics, Statistics, Mathematics, Computer Science, or a related quantitative field
• 7-10 years of experience in developing and operationalizing MMM and marketing analytic solutions
• Strong technical expertise in MMM and ML algorithms, with the ability to connect model insights to business outcomes
• Experience with experimentation/causal inference methods
• Experience in deploying models from development to production environments
• Proficiency in ML programming languages like Python, R, etc. and data querying languages (e.g. SQL)
• Experience with cloud platforms for scalable model training and deployment
• Ability to balance practical business needs with technical possibilities
• Strong communication skills, able to explain technical terms to business executives
• Ability to build positive working relationships and collaborate in cross-functional teams
• A curious mind, passion, and motivation to learn new skills, tools, and techniques!

Benefits

• Compensation reflects the cost of labor across several U.S. geographic markets
• Pay range for this position is $142,700 -- $257,600 annually
• Short-term incentives in the form of the Annual Incentive Plan (AIP)
• Certain roles may be eligible for long-term incentives in the form of a new hire equity award
• Equal Employment Opportunity and affirmative action employer