Manager, Machine Learning Engineering at Adobe

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Master’s/Ph.D. in CS, Data Science, Engineering, AI/ML, or related field—or equivalent experience
5+ years in engineering leadership, managing data infrastructure or ML data ops teams
Deep understanding of ML data lifecycles, especially for generative models (GANs, diffusion)
7+ years building and optimizing large-scale ETL/ELT pipelines and data warehousing
Expertise in data quality, governance, versioning, and annotation platforms
Proficiency with cloud data tech (AWS, Azure, GCP, Spark, Databricks, Snowflake)
Strong grasp of data privacy, security, and ethical AI principles
Excellent leadership and cross-functional collaboration skills
Experience with large-scale image/video datasets
Preferred
Familiarity with MLOps tools (e.g., DVC), annotation platforms, and compliance standards
Experience in computer vision, multimedia, or creative content data ecosystems
Contributions to open-source tools, publications, or patents in data management
Proven success supporting generative model training with robust data solutions

Responsibilities

Lead and grow a distributed team focused on training data for Generative AI
Define and execute strategy for acquiring, processing, curating, annotating, versioning, and ensuring quality of large-scale datasets for Adobe Firefly
Build and maintain scalable, efficient data pipelines across the training data lifecycle
Collaborate with researchers, ML engineers, and PMs to align on data needs for new models
Champion data diversity, bias mitigation, and ethical AI practices
Evaluate and integrate tools and methodologies to 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

Skills

Key technologies and capabilities for this role

Generative AIMachine LearningData PipelinesData CurationData AnnotationDataset VersioningData QualityScalable SystemsTeam LeadershipResearch Application

Questions & Answers

Common questions about this position

What education or experience is required for this role?

A Master’s/Ph.D. in CS, Data Science, Engineering, AI/ML, or related field—or equivalent experience—is required, along with 5+ years in engineering leadership managing data infrastructure or ML data ops teams and 7+ years building large-scale ETL/ELT pipelines.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What kind of team will I be leading?

You will lead and grow a distributed team focused on training data for Generative AI.

What technical skills are essential for this manager role?

Essential skills include deep understanding of ML data lifecycles for generative models, expertise in data quality, governance, versioning, and annotation platforms, and proficiency with cloud data tech like AWS, Azure, GCP, Spark, Databricks, and Snowflake.

Adobe

Software solutions for content creation and marketing

About Adobe

Adobe provides a range of software solutions focused on digital experiences, catering to creative professionals, businesses, and educational institutions. Its main offerings include Adobe Creative Cloud, which contains tools for photography, graphic design, video editing, illustration, UI/UX design, 3D and augmented reality, and social media content creation. Adobe also offers marketing solutions through Adobe Experience Cloud and document management services via Adobe Document Cloud. The company operates on a subscription-based model, allowing users to access its software through monthly or annual plans, with special pricing available for students, teachers, and businesses. Adobe differentiates itself from competitors by providing a comprehensive suite of tools that cover various aspects of content creation and marketing, all integrated into one platform. The goal of Adobe is to empower users to create, manage, and optimize their digital content effectively.

San Jose, CaliforniaHeadquarters

1994Year Founded

$668.9MTotal Funding

IPOCompany Stage

Consumer Software, Enterprise Software, DesignIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Emerging AI-driven design tools offer similar functionalities at lower costs.

Open-source alternatives may attract users away from Adobe's subscription model.

Data privacy concerns could affect trust in Adobe's cloud services.

Differentiation

Adobe offers a comprehensive suite for content creation, marketing, and document management.

Adobe's subscription model includes special pricing for students, teachers, and businesses.

Adobe integrates advanced analytics with Experience Cloud for data-driven marketing.

Upsides

Generative AI tools enhance Adobe's content creation and editing efficiency.

Remote work boosts demand for Adobe's cloud-based document management solutions.

AR's popularity in marketing benefits Adobe's 3D and AR tools.

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