Lead Machine Learning Engineer - Marketing Mix Modeling

Machine Learning Engineer

Changing the world through digital experiences is what Adobe's all about. We give everyonefrom emerging artists to global brandseverything 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 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!