Director of Machine Learning

Adobe Systems Incorporated-posted 4 months ago

$165,300 - $327,600/Yr

Full-time • Senior

Seattle, WA

5,001-10,000 employees

Publishing Industries

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We're looking for a Director of Machine Learning to lead our efforts in designing, developing, and scaling machine learning systems that revolutionize creativity for millions of users around the world. As the Director of Machine Learning on the Data, Growth & Platforms team focused on Digital Media, you will lead a high-impact, multidisciplinary team of ML/AI engineers and data scientists dedicated to transforming Adobe's go-to-market (GTM) and revenue strategies through machine learning. You will define and oversee the ML strategy and model landscape, ensuring alignment with core business outcomes. Your team will drive the development and optimization of models that power GTM motions across routes to market, working in close partnership with other ML teams, Engineering & GTM collaborators. You will also play a key role in operationalizing models through Adobe's personalization platforms. Your work will directly influence critical business initiatives - enhancing and personalizing customer experiences across Adobe's key surfaces, deepening customer understanding, and optimizing revenue across both B2B and B2C contexts, including payments and retention. By applying innovative research to high-impact challenges, you will deliver measurable business outcomes at scale.

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.
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.
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 closely with other ML and advanced analytics teams across Adobe to ensure alignment, share standard processes, and scale impact across the company.
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.
Apply innovative ML research, including recommender systems, reinforcement learning, predictive modeling, and causal inference-to GTM domains.

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.
Deep experience in training and deploying deep learning models using frameworks like TensorFlow and PyTorch.
Good 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.
Proven experience working 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.
Outstanding communication and collaborator leadership skills, with a proven ability to influence both technical and executive audiences.
Strong analytical and critical thinking skills with a track record of delivering impactful solutions.

Prior experience in media, graphics, or creative tools domains.
Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR).

Compensation reflects the cost of labor across several U.S. geographic markets.
Pay range for this position is $165,300 -- $327,600 annually.
Short-term incentives in the form of the Annual Incentive Plan (AIP).
Certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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