Lead Machine Learning Engineer, Marketing Mix Modeling
at Adobe
Posted 4 hours ago
No clicks
- Compensation
- $151,800 – $265,350 USD
- City
- Not specified
- Country
- United States
Currency: $ (USD)
This role sits within Adobe's Global Marketing Organization (GMO), in the Growth Marketing and Insights group, and focuses on designing, developing, and deploying advanced causal Marketing Mix Models (MMM) for Adobe’s global businesses. The candidate will build descriptive and predictive MMMs to quantify the incremental impact of marketing and other drivers, and extend our modeling to additional geographies and product groups. They will integrate diverse data sources and methodologies, balance technical rigor with practical business needs, and communicate model results to partners and executives to guide budget decisions. The role also involves continuous improvement of modeling techniques and contributing to team growth.
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 Careers website and recruiting process 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, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
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 $151,800 -- $265,350 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. In California, the pay range for this position is $183,300 - $265,350 In New York, the pay range for this position is $183,300 - $265,350At 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 Ordinances
Adobe 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 Notice
If 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 Notice
It 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.
