Lead Machine Learning Engineer, Marketing Mix Modeling
Adobe4 LocationsPosted 1 March 2026
Tech Stack
Job Description
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 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 Contribute to the overall growth of the team! Requirements MS/PhD in Economics, Statistics, Physics, Mathematics, Computer Science, or a related quantitative field 3-4 years of experience in developing and operationalizing MMM and marketing science 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 and the ability to explain technical terms to business stakeholders 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! About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity 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 protected characteristic. Learn more. Adobe aims to make our ... (truncated, view full listing at source)
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