Adobe careers

Remote Full-time
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

Adobe is looking for a Machine Learning Engineer who has an expertise in software engineering and machine learning. In this role, you will partner with the business units to build and scale data products that address challenging business problems for Adobe’s enterprise customers.
Research, develop, and deploy large-scale machine learning solutions for business.


What you’ll Do

Work closely with data scientists, engineers, researchers, and product managers to build AI/ML solutions and Experimentation on Adobe Experience Platform
Engage with customers to understand and anticipate how machine learning can solve their business problems
Work across organizational boundaries to align on priorities and drive projects forward
Promote accomplishments across the organization, blogs, and conferences


What you need to succeed

Ph.D. or M.S. degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or related fields.
Proficient in one or more programming languages such as Python, Java, or Scala.
In-depth knowledge of machine learning algorithms and their applications to business problems.
Proven ability in building, deploying, measuring, and maintaining machine learning models
Proven ability in building large-scale distributed ML pipelines.
Experience with scikit-learn, pandas, ml-lib.

Apply Now
Apply Now →

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