Senior Machine Learning Engineer

Job Description

Our Company

Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences Were passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours

The Opportunity

The Training Data Ecosystem for Generative AI (a.k.a AI-Platform) team at Adobe Firefly is looking for a lead architect to spearhead the design of our GenAi training data ecosystem as well as inference and training code bases. We are looking for proven experience in architecting and building large-scale distributed platforms and a strong background in GenAi / ML, data engineering, and large-scale data management. A passion for enabling cutting-edge AI research and product development is also a must.

This role combines both coordination skills across ML projects and hands-on delivery to evolve the training data ecosystem that powers our generative AI models for content synthesis and editing. This role is pivotal in building and scaling the data infrastructure, pipelines, and strategies essential for developing the next generation of creative tools.

As an architect for GenAi systems and data platforms at Adobe, you will be joining an outstanding team. You will have the opportunity to research, develop, and deploy large-scale machine learning solutions to advance the Creativity world through features in Adobe's products, reaching millions of people worldwide

Job 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.
• Execute 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.

What You'll Need to Succeed Core Qualifications:

• 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).

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 generative model training through the delivery of robust and high-quality data solutions.
• Expertise in data quality assessment methodologies, data governance frameworks, data versioning strategies, and data annotation/labeling techniques and platforms.
• Experience working directly with, and managing, large-scale image and/or video datasets, including their acquisition, processing, and quality control.

#FireflyGenAI

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 $162,000 -- $301,200 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), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are 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.

State-Specific Notices:

California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and fair chance ordinances.

Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe is proud to be 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 applicable characteristics protected by law. Learn more.

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Locations

San Francisco, California, United States of America

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