Director, ML Data Platform

Key Skills

Amazon RedShift, Analytical and Problem solving, Data Privacy, ETL frameworks, Leadership, Machine learning techniques, PyTorch

Job Description

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re 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

We are seeking a highly motivated data leader to head our centralized, ethically sourced training dataset repository and dataset processing pipelines for all the training groups in Adobe Research. As the Machine Learning Data Platform leader, you will be responsible for managing and curating a library of datasets that are relevant to Adobe's needs (mostly creative document formats), ensuring that they are high-quality, ethically sourced, and continuously enriched with useful metadata like styles.

You will lead the development and maintenance of internal tools and platforms for dataset management and training. Tools built from the ground up and integrating seamlessly with widely used machine learning platforms such as pytorch, to optimize the efficiency in speed and cost of training on massive datasets. Your role will also include working closely with the Sensei training platform team for a deep integration with the distributed training platform.

You will also collaborate with our legal and ethics department, complying with data privacy and access regulations and analyzing our datasets' inherent biases and investing in reducing them. We take our customer's privacy very seriously at Adobe, and the managed datasets have to be continuously updated to respect the opt-in/opt-out customers' settings.

What you'll do

• Leading a team of data engineers, data scientists and data analysts in designing, building and maintaining a robust, scalable and efficient ML data platform.
• Leading the curation and organization of a centralized, ethically sourced training dataset repository for all the training groups in Adobe Research.
• Leading the development and maintenance of internal tools and platforms for dataset management, with technologies such as pytorch, Redshift, Ray,
• Building a large repository of training datasets, enriching Adobe Stock data, purchasing custom datasets and adding public domain data on a variety of modalities - images, vectors, video, text. Collaborating with the Sensei training platform team for a deep integration, ensuring that the dataset management platform is seamlessly integrated with the training platform.
• Collaborating with the legal and ethics department to ensure compliance with data privacy and access regulations and analyzing and reducing inherent biases in the datasets.
• Monitor, analyze and report on the performance of the platform, identifying areas for improvement and making data-driven decisions to optimize the platform's performance and return on investment.

What you need to succeed

• ​Excellent leadership skills, with the ability to inspire and motivate team members to achieve their best work.
• Strong experience in modern machine learning including supervised and unsupervised deep learning models for image, and text processing.
• Strong experience in best practices for data ETL pipelines for machine learning.
• Strong experience in data curation and ethical sourcing of data, with knowledge of data privacy regulations.
• Strong experience in product management with a track record of delivering successful products and features in the ML space.
• A bachelor’s or master’s degree in computer science, Electrical Engineering, or a related field, or equivalent industry experience.
• Strong analytical and problem-solving skills, with the ability to think strategically and make data-driven decisions

#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 $163,900 -- $335,200 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.

Adobe is proud to be an Equal Employment Opportunity and affirmative action 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.

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.