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! This role includes prompt engineering, system design, ML model assessment, building data pipelines, creation of prototypes, evaluation, operationalization. The ideal candidate will have a strong background in both classical and deep learning techniques, with the ability to develop and deploy production-ready machine learning solutions. If you have a passion for shipping groundbreaking data-driven customer-facing features, learning new technologies every day, and working on high visibility projects with ample room for creativity, this might be a good fit for you. The work is dynamic, fast-paced, creative, collaborative and data-driven. What You'll Do Contribute to the backend services that power ML and Generative-AI features. Design, develop, implement and evaluate machine learning models using classical and deep learning approaches, as well as GenAI. Collaborate with cross-functional teams to integrate ML solutions into existing products and services. Analyze and improve efficiency, accuracy, scalability, and stability of AI enabled workflows. Stay current with the latest advancements in ML and AI technologies. Mentor junior team members and contribute to the overall growth of the ML team. What You Need To Succeed Required Qualifications: Master's or Ph.D. in Computer Science, Machine Learning, or a related field. 5+ years of experience in machine learning engineering roles. Strong software engineering skills, including version control, code review, and CI/CD practices. Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Sagemaker. Experience in developing and deploying ML models in production environments. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) for ML deployment. Strong understanding of data structures, algorithms, and system design. Strong leadership and team-building skills. Excellent communication and presentation skills. Experience with Generative AI technologies and applications is a plus. Knowledge of Retrieval-Augmented Generation (RAG) and other modern NLP techniques is a plus. Familiarity with MLOps practices and tools is a plus. 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 position is $142,700 -- $257,600 annually. Pay within this range varies by work location and 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.