Machine Learning Engineer 4

Our Company Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. Were 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 Adobes 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 Adobes global businesses. These models are crucial for guiding Adobes 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! Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $151,800 -- $265,350 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. 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. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity 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. At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If youre looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. There's more than meets the eye when it comes to Adobe. Take the quiz and see how well you know us! Adobe is proud to be an Equal Employment Opportunity 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.