Machine Learning Engineer - Marketing Mix Modeling

Changing the world through digital experiences, providing tools for designing and delivering exceptional digital experiences.
$120,700 - $228,600
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Machine Learning Engineer - Marketing Mix Modeling

Adobe is seeking a highly experienced Machine Learning Engineer to join their Global Marketing Organization (GMO), specifically within the Growth Marketing and Insights organization (GMI). This role focuses on designing, developing, and deploying advanced causal Marketing Mix Models (MMM) for Adobe's global businesses. The position is crucial for guiding Adobe's quarterly and yearly marketing budget decisions and generating insights that drive business growth.

The ideal candidate will build foundationally solid models that can be refreshed frequently in the production environment. Working at Adobe means joining a company that's passionate about empowering people to create exceptional digital experiences across every screen. They're looking for someone who can balance technical expertise with practical business needs, while effectively communicating complex model results to stakeholders.

The role offers competitive compensation ranging from $120,700 to $228,600 annually, based on location and experience. You'll be working with cross-functional teams, including analytics, marketing execution, and engineering, while contributing to Adobe's mission of changing the world through digital experiences. The position requires strong technical skills in MMM and ML algorithms, combined with the ability to translate model insights into actionable business outcomes.

This is an excellent opportunity for a quantitative professional who enjoys both technical challenges and business impact, working in an environment that values innovation and continuous improvement. The role offers the chance to directly influence Adobe's marketing strategies through data-driven decisions while working with cutting-edge marketing science solutions.

Last updated 5 days ago

Responsibilities For Machine Learning Engineer - Marketing Mix Modeling

  • Develop descriptive and predictive Marketing Mix Models
  • Expand modeling solutions for multiple geographic locations and product groups
  • Integrate measurement methodologies for accurate marketing ROI
  • Balance technical capabilities with business needs
  • Measure short and long-term marketing impact
  • Communicate model results to partners and executives
  • Continuously improve modeling techniques
  • Contribute to team growth

Requirements For Machine Learning Engineer - Marketing Mix Modeling

Python
  • MS/PhD in Economics, Statistics, Physics, Mathematics, Computer Science, or 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
  • 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 SQL
  • Experience with cloud platforms for scalable model training and deployment
  • Strong communication skills
  • Ability to build positive working relationships

Benefits For Machine Learning Engineer - Marketing Mix Modeling

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Competitive salary range $120,700 - $228,600 annually
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401k

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