Full-time · On-site

Lead Machine Learning Engineer, Marketing Mix Modeling

This lead-level role focuses on building the next generation of Marketing Mix Modeling tools to optimize Adobe's global marketing spend. It combines deep technical engineering with advanced statistical analysis to drive multi-million dollar business decisions. It is a premier opportunity for an engineer who wants to see their models have a direct, measurable impact on a global scale.

A
Hiring company

Adobe

San Francisco, California, United States · Posted 2 May 2026

The role

Overview

This lead-level role focuses on building the next generation of Marketing Mix Modeling tools to optimize Adobe's global marketing spend. It combines deep technical engineering with advanced statistical analysis to drive multi-million dollar business decisions. It is a premier opportunity for an engineer who wants to see their models have a direct, measurable impact on a global scale.

The hiring side

About Adobe

Adobe is an enterprise organisation working in software and technology, based in San Francisco, California, United States.

Industry

Software and Technology

Size

Enterprise

Location

San Francisco, California, United States

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What they need

Requirements & Skills

Key Responsibilities

  • Architect and maintain scalable ML pipelines for marketing attribution
  • Lead the technical direction for MMM initiatives and model selection
  • Collaborate with stakeholders to translate business questions into technical requirements
  • Mentor junior and mid-level engineers on best practices in ML and software design
  • Optimize model performance and ensure data integrity across various marketing channels

Essential

  • Extensive experience in designing and deploying large-scale machine learning systems
  • Deep expertise in Marketing Mix Modeling (MMM) or Multi-Touch Attribution (MTA)
  • Strong proficiency in Python and specialized ML libraries
  • Experience with cloud-based data infrastructure and distributed computing
  • Proven ability to lead complex technical projects from conception to production

Preferred

  • Advanced degree (Master's or PhD) in Computer Science, Statistics, or a related quantitative field
  • Experience with Bayesian statistics and causal inference frameworks
  • Background in advertising technology or marketing analytics
  • Contributions to open-source ML projects or published research

Key Skills

PythonMachine Learning EngineeringMarketing Mix ModelingStatistical ModelingData PipelinesCausal InferenceDistributed SystemsTechnical Leadership

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People to Know

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Perks

Benefits & perks

  • Competitive compensation packages
  • Comprehensive health, dental, and vision insurance
  • Generous paid time off and holiday schedule
  • 401(k) matching and employee stock purchase plans
  • Wellness programs and mental health support
  • Professional development and continuous learning stipends

Next step

Apply now

Found via careers.adobe.com

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