Manager, Applied Science for Data

Adobe; San Jose (CA); On-site; USD 172,500 - 306,625; Full time

Job summary

Adobe is looking for an experienced Applied Science Manager to lead efforts in training data for generative AI. This role involves developing data-centric solutions that enhance creative tools, impacting millions globally.

You will lead a distributed team, define strategies for dataset management, and work with cross-functional teams to ensure quality and diversity in data practices.

The position offers a competitive salary and opportunities for innovation in the AI space.

Qualifications

• Minimum of 5 years of experience in engineering leadership.
• Deep understanding of ML data lifecycles for generative models.
• Strong grasp of ethical AI principles.

Responsibilities

• Lead a distributed team focused on training data for generative AI.
• Define strategy for managing large-scale datasets.
• Build and maintain efficient data pipelines.

Skills

Leadership

Machine Learning (ML) Data Lifecycles

Data Privacy

Collaboration

Generative AI

Education

Master’s or Ph.D. in Computer Science or related field

Job description

The Opportunity

We are seeking an experienced Applied Science Manager to lead and evolve the training data ecosystem that powers generative AI models for content synthesis and editing across multiple modalities, including imaging and video. This role is pivotal to building and scaling the science, pipelines, and data strategies essential to developing the next generation of creative tools. The manager will develop novel data‑centric solutions that advance creativity through features in Adobe’s products, reaching millions worldwide.

Responsibilities

• Lead and grow a distributed team focused on training data for generative AI.
• Define and execute the strategy for acquiring, processing, curating, annotating, versioning, and ensuring the quality of large‑scale datasets for Custom Foundation Models.
• Build and maintain scalable, efficient data pipelines across the training data lifecycle.
• Collaborate with researchers, ML engineers, and product managers to align on data needs for foundation models.
• Champion data diversity, bias mitigation, and ethical AI practices.
• Evaluate and integrate tools and methodologies that enhance infrastructure and workflows.
• Influence model development through insights on data quality and availability.
• Provide technical leadership and foster a culture of innovation.
• Partner across teams to align data priorities and share best practices.

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Engineering, AI/ML, or a related field — or equivalent experience.
• 5+ years of experience in engineering leadership.
• Deep understanding of ML data lifecycles, particularly for generative models.
• Experience in the science and algorithms underpinning data for generative AI.
• Experience with synthetic data creation and curation.
• Strong grasp of data privacy, security, and ethical AI principles.
• Excellent leadership and cross‑functional collaboration skills.
• Experience working with large‑scale image and video datasets.

Pay Range

The U.S. pay range for this position is $172,500 – $306,625 annually, varying by location and experience.

Equal Employment Opportunity

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.