Lead Machine Learning Engineer - Marketing Mix Modeling

Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity

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.

What you'll Do

• 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

Required Qualifications

• 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!

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 

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