Senior ML Engineer, Platform & Data

Our Company 

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

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 insights can come from anywhere in the organization, and we know the next big idea could be yours! 

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 optimize distributed training frameworks leveraging GPUs to improve performance and scalability. Improve resiliency, elasticity, data loading and provide out-of-the-box support for GPU optimization methods such as FP8, FSDP and model parallelism 

• Write high quality, product level code that is easy to maintain and test following standard methodologies 

• Collaborate closely with ML Researchers and Machine Learning Engineers to accelerate the training of the cutting-edge ML models 

• Keep track of the latest innovation in academia and open-source community to implement rapid adoption of pioneering technologies to improve the performance of the ML platform 

• 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 pipeline and ensuring efficient resource utilization 

• Drive innovation in infrastructure practices to support pioneering machine learning research and development 

What you need to succeed  

• PhD or Master’s in computer science or related field and 5+ years relevant industry experience.

• Proven proficiency with Python and developing systems, frameworks and SDKs 

• Experience with infrastructure and understanding of model serving, training, orchestration, and management of GPU resources 

• Experience with machine learning and distributed Pytorch 

• Strong critical thinking, analytical and quantitative problem-solving ability 

• Excellent communication, relationship skills and a strong teammate 

While not required, it’s an added plus if you also have: 

• Experience with KubeFlow, MLFlow, Ray, SageMaker, or similar 

• Experience with Nvidia HPC 

• Experience with Pytorch distributed, MPI, Megatron, Horovod and other AI training frameworks 

#FireflyGenAI