Adobe
Lead Machine Learning Engineer - Marketing Mix Modeling
San Jose
Adobe is dedicated to enhancing digital experiences worldwide. We provide the tools necessary for anyone, whether emerging artists or global brands, to design and deliver exceptional digital experiences. Our passion lies in empowering individuals to create stunning images, videos, and applications, transforming how businesses engage customers across all platforms.
We are committed to hiring the best talent and fostering exceptional employee experiences characterized by respect and equal opportunity. We believe innovative ideas can originate from anywhere within our organization, potentially including yours!
The Opportunity: This position is within Adobe’s Global Marketing Organization (GMO), specifically in the Growth Marketing and Insights team (GMI). We seek a Lead Machine Learning Engineer with extensive experience to develop advanced causal Marketing Mix Models (MMM) crucial for guiding Adobe’s global marketing budget decisions. These models generate insights that drive business growth and must be robust enough for frequent updates in a production environment. Collaboration with cross-functional teams, including analytics, marketing execution, and engineering, is key.
Responsibilities:
Develop descriptive and predictive MMMs to accurately measure marketing and non-marketing drivers’ incremental impact.
Expand modeling solutions to support various geographic locations and product groups.
Integrate additional methodologies and data to ensure precise marketing ROI measurement.
Balance technical capabilities with practical business needs, guiding budget allocation across funnel stages for sustainable business growth.
Effectively communicate model results to partners and executives.
Continuously enhance modeling techniques amidst evolving analytical landscapes.
Collaborate with marketing and analytics leaders to translate business queries 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 analytics solutions.
Strong expertise in MMM, ML algorithms, and connecting model insights with business outcomes.
Experience with experimentation/causal inference methods and deploying models in production.
Proficiency in ML programming languages (Python, R) and data querying (SQL).
Familiarity with cloud platforms for scalable model training and deployment.
Ability to effectively communicate technical concepts to business executives.
Strong interpersonal skills and ability to collaborate across teams.
Curiosity, passion for learning, and eagerness to adopt new skills and tools.
Compensation: Adobe offers competitive compensation reflecting market conditions across various U.S. geographic locations. The pay range for this role is $142,700 to $257,600 annually, varying by location, knowledge, skills, and experience. Specific salary details will be provided during the hiring process.
Diversity and Inclusion: Adobe is an Equal Employment Opportunity employer, committed to diversity without discrimination based on gender, race, ethnicity, age, disability, religion, sexual orientation, gender identity, veteran status, or other legally protected characteristics.
Accessibility: Adobe strives to ensure accessibility for all users on Adobe.com. If you require accommodations during the application process, please contact accommodations@adobe.com or call (408) 536-3015.
Fair Employment Practices: Adobe upholds fair and open employment practices, strictly prohibiting illegal agreements with other companies regarding employee recruitment.
This paraphrased version aims to maintain the original message while ensuring clarity and conciseness.