Machine Learning Engineer

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. 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 $160,200 -- $322,300 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. 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 View email address on click.appcast.io or call View phone number on click.appcast.io. #J-18808-Ljbffr