Adobe is changing the world through digital experiences. We help our customers create, deliver and optimize content and applications.
About the role
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.
What they're looking for
- Experience with KubeFlow , MLFlow , Ray, SageMaker, or similar
- Experience with Pyt orch distributed, MPI, Megatron, Horovod and other AI training frameworks
- #FireflyGenAI
More about this role
The Opportunity
Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize, build, and scale content. It’s a natural extension of the technology Adobe has produced over the past 40 years.
At the core of Firefly are our commercially safe AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models. This is an opportunity to reach millions of creatives, helping them reinvent the way they work.
What you will Do
Design, develop, and maintain robust AI/ML infrastructure solutions to support the training and deployment of large-scale AI models, using Kubernetes and Python on AWS cloud
Implement and improve distributed training frameworks leveraging GPUs to improve performance and scalability. Improve resiliency, elasticity, data loading and provide out-of-the-box support for FSDP and model parallelism
Help train better models by improving orchestration and scheduling, scaling the number of jobs, faster experimentation with AutoML and similar
Collaborate with data scientists and ML researchers to streamline the model training...
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