Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything 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!

At Adobe Experience Platform (AEP), we collect vast amount of data related to experience delivery, user interaction, and conversion events. Adobe applications like RTCDP, AJO, and CJA use this data to build customer profiles, create fine-grained audiences, orchestrate personalized journeys, and analyze business results. This rich data environment is ripe for innovative machine learning applications, offering an unparalleled opportunity to positively impact our customer’s business. 

As the Sr Engineering Manager of Applied Machine Learning, you will be in charge of building technology stack that turns AEP data into actionable insights and cutting-edge solutions. Your role will be pivotal in driving AEP's mission forward, leveraging data to create meaningful, personalized experiences for users and delivering tangible business value to our clients. 

What You’ll Do 

• Hire and directly lead a diverse team of world-class ML and software engineers while being responsible for driving all aspects of ML product development: ML modeling, data/ML pipelines, quality evaluations, productization, and ML monitoring. 
• Create and instill a team culture that focuses on sound scientific processes, engineering excellence, and encourages deep engagement with our customers and out of the box thinking 
• Mentor technical leaders and set high bars for excellence in architecture and code design 
• Participate in the design and review of features, technology choices, architecture, designs, time and budget estimates, and test strategies 
• Handle project scope and risks with data, analytics and creative problem solving 
• Develop and evolve engineering processes and collaboration models to optimize team efficiency and collaboration 
• Work closely with teams and managers across Adobe, in different geographies 

What You Need to Succeed 

• B.S. / M.S. degree in Computer Science or equivalent 
• 5+ years as an engineer building ML-powered services or products 
• 5+ years as an engineering manager 
• Experience building and shipping large scale ML solutions. 
• Sound knowledge of common ML algorithms (e.g. propensity scores, look alike, recommendations) and trade-offs involved in their selection. 
• Strong data and analytics skills -- can tell a story with data and analytics. 
• Experience working with large scale data sets and data engineering tools. 

At 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.

Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 applicable characteristics protected by law. Learn more.
 

Adobe aims to make Adobe.com 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 (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.