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
Adobe is looking for an ML Services Engineer to bring new and exciting AI/GenAI based capabilities to its flagship products like Photoshop and Lightroom. As part of the Applied research organization, you will partner with Adobe Research and business units to deliver cutting-edge AI/GenAI powered cloud services, to light up exciting new product capabilities. You will join a team of dedicated engineers to expand the cloud offerings behind some of Adobe's most successful and innovative creative products.
What you'll do
- Design, build, deploy and support reliable and scalable world class cloud based services
- Design and architect optimized ML pipelines for running models in the cloud
- Analyze and improve efficiency, accuracy, scalability, and stability of AI enabled workflows
- Design and implement model integration testing, and regression testing for model evaluation with refinements
- Build and maintain CI/CD pipeline for a suite of microservices
- Collaborate with product management, user experience and engineering groups to develop new products and features.
- Provide production level support for customers
What you need to succeed
- Several years experience architecting cloud services and infrastructure for large scale use, reliability and performance
- Very strong coding, debugging, and development skills in Python, Javascript
- Proficient in various cloud technologies like AWS, Kubernetes, Docker
- Familiarity with AIT, CUDA, and using Pytorch, TensorFlow, or ONNXRuntime
- Experience with model conversion and compression techniques
- Ability to write well-designed, testable code.
- Strong analytical and quantitative problem-solving ability
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