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

The Adobe Document Cloud's AI & Innovation Team is looking for Software Engineer in Machine Learning Intern to help with a variety of Machine Learning (ML) related projects. The Adobe Document Cloud is responsible for technologies for building, manipulating and consuming PDF files across a range of services, mobile apps and desktop products. The flagship PDF application within DC is Adobe Acrobat, which is installed on over a billion devices and opens billions of PDFs every year. Our offerings extend beyond Acrobat to Adobe Sign, Document Cloud Platform, and Adobe Scan.

The team’s mission is to use ML to build new experiences with documents, across our entire suite of offerings. Our most recent public features are Liquid Mode, allowing a seamless reflow experience for PDFs phones and tablets; PDF Extract API for unlocking the structure and content elements of any PDF; and Table Decomposition feature in Liquid Mode. All products are driven by ML. Our team’s solutions are deployed on mobile devices, in the cloud, and on desktop.

All 2023 Adobe Interns will be ‘co-located hybrid’, meaning that you will be assigned to an Adobe office location but in-office schedules will be flexible (2-3 days per week). All interns must live in the same state, country, and within commuting distance of their assigned Adobe office so they can be on-site as needed. Interns visiting Adobe sites must follow all applicable COVID-19 health and safety protocols.

WHAT YOU'LL DO

We are looking for a Software Engineer in ML to own and drive different tasks including system design, ML model assessment, building data pipelines, data analytics, visualization, system deployment, and the creation of prototypes to help validate our ideas. If you have a passion for shipping groundbreaking data-driven customer-facing features, learning new technologies every day, and working on high visibility projects with ample room for creativity, this might be a good fit for you. On the team you will join a diverse, lively group of engineers and scientists.

The work is dynamic, fast-paced, creative, collaborative and data-driven.

WHAT WE ARE LOOKING FOR:

• Experience with Python and Python based ML/DL and Data Science frameworks including PyTorch or TensorFlow.

• Excellent coding, analysis, and problem-solving skills.

• Knowledge of ML Ops. Familiarity with ML services is a plus

• Strong communication and collaboration skills

• Enrolled full time in a Master's or PhD program with a degree in computer science or a related technical field.

• Ability to participate in a full-time internship between May-September

At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

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.