Machine Learning Engineer

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 Adobe Advertising Cloud Adobe Advertising is a combination of a Demand Side Platform DSP and a Spend Optimizer that helps customers plan buy measure and optimize their digital media across CTV Online Video Display Search Social and Retail Media Networks We help the largest global advertisers maximize the impact of their paid media budgets by delivering connected and personalized experiences to their consumers The Opportunity This opportunity is with the Spend Optimizer group In collaboration with a team of highly motivated data scientists and engineers you will apply reinforcement learning time series analysis bayesian modeling Gen AI frameworks to optimize ad spends and drive the best user experiences What you ll Do Technically lead and guide team of skilled machine learning engineers to design and implement ML algorithms models Collaborate with multi-functional teams to determine technical requirements Develop and deploy scalable machine learning solutions that optimize Adobe s products and services deliver value to clients and drive customer adoption Drive innovation through research and experimentation encouraging an environment where new ideas can thrive Monitor and evaluate the performance of ML models making vital adjustments to compete at the highest level What you need to succeed Outstanding knowledge of machine learning frameworks and tools such as PyTorch Tensorflow Scikit-learn with strong programming skills in Python Solid understanding of core machine learning and statistics including Bayesian Modeling Time Series Analysis Reinforcement Learning and Optimization Experience in developing deploying and maintaining ML models in a production environment Ability to thrive in a collaborative inclusive and diverse workplace embracing different perspectives and ideas Ideal Candidate Profile About 10 years of experience in an applied Machine Learning setting delivering cloud-scale data-driven products and services PhD or Master s in Computer Science Applied Math Statistics related field Experience and domain expertise in Digital ad technologies is desirable Comfort with ambiguity adaptability to evolving priorities and an ability to influence technical and non-technical collaborators A very strong problem solving and execution ability ability to innovate and focus on delivering value to Adobe customers can compensate for any of the above requirements Adobe is proud to be an 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 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 or call 408 536-3015