Adobe ColdFusion
Overview
The Opportunity The Director of Machine Learning will lead our efforts in designing, developing, and scaling machine learning systems that revolutionize creativity for millions of users around the world. Job Level M60 / P60 Employee Role People Manager What You'll Do
Leadership & Strategy: Define and drive the vision for scalable, responsible machine learning systems that power and optimize Adobe's GTM strategies across both B2B and B2C. Direct a team of managers, ML engineers, data scientists, and engineers to deliver innovations that elevate customer experience and generate measurable business impact. Team Building & Mentorship: Recruit, mentor, and develop a high-performing, inclusive team. Promote a culture of innovation, technical excellence, and outcome-focused execution. ML System Architecture: Oversee the design and implementation of robust data pipelines, model training workflows, and scalable infrastructure to support use cases including customer segmentation, personalization, lifecycle marketing, and revenue optimization. Multi-Functional Collaboration: Work with sales leadership, marketing, product, data, and engineering teams to see opportunities, align on priorities, and translate business needs into ML-powered solutions. Collaborate with other ML and advanced analytics teams across Adobe to ensure alignment and scale impact. Model Deployment at Scale: Lead efforts to ensure performance, reliability, and cost-efficiency of production ML models, supporting both real-time and batch use cases across the customer journey. Innovation & Business Impact: Apply innovative ML research, including recommender systems, reinforcement learning, predictive modeling, and causal inference—to GTM domains. Focus on delivering solutions that drive tangible business value across acquisition, engagement, retention, and payments. What You Need To Succeed
MS or PhD in Computer Science, Machine Learning, or a related technical field. 10+ years of experience building and scaling ML systems, with at least 3 years in a technical leadership or management role. Technical Expertise: Deep experience in training and deploying deep learning models using frameworks like TensorFlow and PyTorch. Strong foundation in neural architectures including CNNs, RNNs, transformers, GANs, and more. Proficiency in Python and familiarity with modern software engineering practices such as version control (Git), CI / CD, and agile development. ML Infrastructure & MLOps: Experience with large-scale datasets, model training, optimization, and deployment. Expertise in MLOps practices—including code, data, and model management. Familiarity with cloud platforms such as Azure and AWS. Communication & Influence: Outstanding communication and collaborator leadership skills, with the ability to influence technical and executive audiences. Problem Solving: Strong analytical and critical thinking skills with a track record of delivering impactful solutions. Nice to Have
Prior experience in media, graphics, or creative tools domains. Publications in top-tier AI / ML conferences (e.g., NeurIPS, ICML, CVPR). Compensation & Notices
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 $165,300 - $327,600 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). Non-sales roles starting salaries are expressed as base salary and short-term incentives 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. Legal & Accessibility Notices
Adobe is 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 protected characteristic. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. If you require accommodation to navigate our website or complete the application process, please email accommodations@adobe.com or call (408) 536-3015.
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The Opportunity The Director of Machine Learning will lead our efforts in designing, developing, and scaling machine learning systems that revolutionize creativity for millions of users around the world. Job Level M60 / P60 Employee Role People Manager What You'll Do
Leadership & Strategy: Define and drive the vision for scalable, responsible machine learning systems that power and optimize Adobe's GTM strategies across both B2B and B2C. Direct a team of managers, ML engineers, data scientists, and engineers to deliver innovations that elevate customer experience and generate measurable business impact. Team Building & Mentorship: Recruit, mentor, and develop a high-performing, inclusive team. Promote a culture of innovation, technical excellence, and outcome-focused execution. ML System Architecture: Oversee the design and implementation of robust data pipelines, model training workflows, and scalable infrastructure to support use cases including customer segmentation, personalization, lifecycle marketing, and revenue optimization. Multi-Functional Collaboration: Work with sales leadership, marketing, product, data, and engineering teams to see opportunities, align on priorities, and translate business needs into ML-powered solutions. Collaborate with other ML and advanced analytics teams across Adobe to ensure alignment and scale impact. Model Deployment at Scale: Lead efforts to ensure performance, reliability, and cost-efficiency of production ML models, supporting both real-time and batch use cases across the customer journey. Innovation & Business Impact: Apply innovative ML research, including recommender systems, reinforcement learning, predictive modeling, and causal inference—to GTM domains. Focus on delivering solutions that drive tangible business value across acquisition, engagement, retention, and payments. What You Need To Succeed
MS or PhD in Computer Science, Machine Learning, or a related technical field. 10+ years of experience building and scaling ML systems, with at least 3 years in a technical leadership or management role. Technical Expertise: Deep experience in training and deploying deep learning models using frameworks like TensorFlow and PyTorch. Strong foundation in neural architectures including CNNs, RNNs, transformers, GANs, and more. Proficiency in Python and familiarity with modern software engineering practices such as version control (Git), CI / CD, and agile development. ML Infrastructure & MLOps: Experience with large-scale datasets, model training, optimization, and deployment. Expertise in MLOps practices—including code, data, and model management. Familiarity with cloud platforms such as Azure and AWS. Communication & Influence: Outstanding communication and collaborator leadership skills, with the ability to influence technical and executive audiences. Problem Solving: Strong analytical and critical thinking skills with a track record of delivering impactful solutions. Nice to Have
Prior experience in media, graphics, or creative tools domains. Publications in top-tier AI / ML conferences (e.g., NeurIPS, ICML, CVPR). Compensation & Notices
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 $165,300 - $327,600 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). Non-sales roles starting salaries are expressed as base salary and short-term incentives 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. Legal & Accessibility Notices
Adobe is 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 protected characteristic. Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. If you require accommodation to navigate our website or complete the application process, please email accommodations@adobe.com or call (408) 536-3015.
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