Adobe is hiring: Lead Machine Learning Engineer - Marketing Mix Modeling in San

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!

In Summary: The 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 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 . En Español: Ingeniero de aprendizaje automático Cambiar el mundo a través de experiencias digitales es todo lo que se trata en Adobe. Damos a todos, desde artistas emergentes hasta marcas globales, todo lo necesario para diseñar y ofrecer experiencia digital excepcional! Estamos apasionados por empoderar a las personas para crear imágenes, videos y aplicaciones hermosas y poderosas, y transformar la forma en que las empresas interactúan con los clientes en cada pantalla. Estamos en una misión de contratar a los mejores y estamos comprometidos a crear experiencias excepcionales de empleados donde todos sean respetados y tengan acceso a igualdad de oportunidades. Nos damos cuenta de que las nuevas ideas pueden provenir de cualquier parte de la organización, y sabemos que la próxima gran idea podría ser suya! La Oportunidad Este papel forma parte de Adobe's Global Marketing Organization (GMO), específicamente dentro del Growth Marketing and Insights organization (GMI). Buscamos un ingeniero de máquina altamente orientado para desarrollar e implementar modelos avanzados de marketing que puedan generar conocimientos generales, causal y ejecutivos, así como modelos de crecimiento de mercadotecnia y análisis mundiales. Lo que harás Desarrollar MMMs descriptivos y predictivos que miden con precisión el impacto incremental de los impulsores del marketing y no-marketing Ampliar nuestras soluciones de modelado para apoyar un número creciente de ubicaciones geográficas y grupos de productos Integrar metodologías y datos adicionales de medición para garantizar la medición precisa del retorno al mercadotecnia inversiones Equilibrar capacidades técnicas con necesidades comerciales prácticas Medir tanto el impacto a corto como largo plazo del marketing para orientar la asignación presupuestaria en todas las etapas del embudo para impulsar el crecimiento sostenible del negocio Comunicar resultados del modelo eficazmente a socios y ejecutivos Mejorando continuamente las técnicas y habilidades de modelización a medida que evoluciona el panorama analítico Contribuir al crecimiento general del equipo! Requisitos MS/PhD en Economía, Estadística, Física, Matemáticas, o un campo relacionado conocimiento cuantitativo 3-4 años de experiencia en sistemas operativos y experimentales. SQL) Experiencia con plataformas en la nube para capacitación y despliegue de modelos escalables Capacidad para equilibrar las necesidades prácticas del negocio con posibilidades técnicas Habilidades de comunicación fuertes y capacidad para explicar términos técnicos a los interesados empresariales Capabilidad para construir relaciones laborales positivas y colaborar en equipos interfuncionales Una mente curiosa, pasión y motivación para aprender nuevas habilidades, herramientas y técnicas!.