Lead Machine Learning Engineer - Marketing Mix Modeling - San Jose California

Company: Adobe Systems GmbH
Location: San Jose, California
Posted On: 05/07/2025

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 OpportunityThis 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'lldo

• 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!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 positionis $142,700 -- $257,600 annually. Paywithin this range varies by work locationand 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.State-Specific Notices:California:Fair Chance OrdinancesAdobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.Colorado:Application Window NoticeIf this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.Massachusetts:Massachusetts Legal NoticeIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Adobe is proud to be anand 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.
                                      Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, emailor call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.
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