Lead GenAI Systems & Data Architect at Adobe

San Jose, California, United States

Apply Now

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, SoftwareIndustries

Requirements

Masters or Ph.D. in Computer Science, Data Science, Engineering, AI/ML, or a related technical field
Proficient in Python and PyTorch
Proven ability in building, deploying, measuring, and maintaining large-scale generative models (e.g., GANs, diffusion models, Transformers)
Proven ability in building large-scale distributed ML pipelines focusing on Generative AI
In-depth knowledge of machine learning algorithms and their applications to business problems with focus on Generative AI specially image and video
Deep understanding of the end-to-end data lifecycle for machine learning, particularly the unique challenges and requirements for training large-scale generative models (e.g., GANs, diffusion models)
Proficiency with cloud-based data storage and processing technologies (e.g., AWS S3/Glue/EMR, Azure Blob Storage/Data Factory, GCP Cloud Storage/Dataflow, Spark, Databricks, Snowflake)
Experience in architecting and building large-scale distributed platforms
Strong background in GenAI / ML, data engineering, and large-scale data management
Passion for enabling pioneering AI research and product development
Preferred Experience
Experience in full-stack development covering both frontend (UI/UX) and backend as well as familiarity with API design, RESTful services, CI/CD pipelines
Experience with MLOps principles and tools, particularly those focused on data management, data versioning (e.g., DVC), and experiment tracking for ML
A track record of contributions to open-source data tools, relevant academic publications, or patents in the data management space
Experience supporting large-scale AI/ML projects

Responsibilities

Work closely with data scientists, engineers, researchers, and product managers to build AI/ML solutions on the training data ecosystem to deliver a robust, scalable, and efficient data pipelines for the entire training data lifecycle
Complete the comprehensive strategy for acquiring, processing, curating, annotating, versioning, and ensuring the quality of large-scale training datasets for Adobe Firefly
Work across organizational boundaries to align priorities and drive projects forward
Evaluate and integrate new tools, technologies, and methodologies to continuously improve the training data infrastructure, workflows, and team productivity
Spearhead the design of the GenAI training data ecosystem as well as inference and training code bases
Combine coordination skills across ML projects and hands-on delivery to evolve the training data ecosystem that powers generative AI models for content synthesis and editing
Build and scale the data infrastructure, pipelines, and strategies essential for developing the next generation of creative tools

Skills

Key technologies and capabilities for this role

Generative AIMachine LearningData EngineeringDistributed SystemsData PipelinesTraining Data EcosystemInference SystemsML PlatformsLarge-scale Data Management

Questions & Answers

Common questions about this position

What are the core qualifications required for this role?

Candidates need a Masters or Ph.D. in Computer Science, Data Science, Engineering, AI/ML, or related field, proficiency in Python and PyTorch, proven ability in building and deploying large-scale generative models like GANs, diffusion models, and Transformers, and experience in building large-scale distributed ML pipelines for Generative AI.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What is the team and work environment like at Adobe for this role?

You'll join an outstanding team in the Training Data Ecosystem for Generative AI at Adobe Firefly, working closely with data scientists, engineers, researchers, and product managers to build scalable AI/ML solutions, with a culture committed to exceptional employee experiences, respect, equal opportunity, and empowering creativity.

What makes a strong candidate for this Lead GenAI Systems & Data Architect role?

A strong candidate has proven experience architecting large-scale distributed platforms, a strong background in GenAI/ML, data engineering, and large-scale data management, plus a passion for enabling pioneering AI research and product development.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free