Senior AI Infrastructure Engineer
2 weeks ago
About Adobe
At Adobe, we are dedicated to transforming the world through innovative digital experiences. Our mission is to empower everyone—from budding creators to established brands—with the tools they need to craft and deliver outstanding digital content. We are passionate about enabling individuals to produce stunning visuals, videos, and applications, while reshaping how businesses engage with their audiences across various platforms.
We are committed to attracting top talent and fostering an exceptional workplace culture where respect and equal opportunity are paramount. We believe that groundbreaking ideas can emerge from any level of the organization, and we are excited to see what you can contribute.
Position Overview
Firefly represents our latest suite of generative AI models designed to enhance Adobe products, providing a revolutionary approach to content creation. This initiative builds upon four decades of technological advancements at Adobe.
Central to Firefly are our commercially viable AI models, meticulously trained on a vast collection of images owned or licensed by Adobe. We are seeking a strategic and influential professional to help advance these models, presenting a unique opportunity to impact millions of creative professionals and redefine their workflows.
Key Responsibilities
- Architect, develop, and sustain robust AI/ML infrastructure solutions that facilitate the training and deployment of large-scale AI models, utilizing Kubernetes and Python on AWS cloud.
- Enhance and optimize distributed training frameworks using GPUs to boost performance and scalability, ensuring improved resiliency, elasticity, and data handling while supporting GPU optimization techniques such as FP8, FSDP, and model parallelism.
- Produce high-quality, maintainable, and testable code adhering to industry best practices.
- Work collaboratively with ML Researchers and Machine Learning Engineers to expedite the training of state-of-the-art ML models.
- Stay abreast of the latest advancements in academia and the open-source community to facilitate the swift adoption of cutting-edge technologies that enhance ML platform performance.
- Contribute to the development of superior models by refining orchestration and scheduling, increasing job scalability, and accelerating experimentation through AutoML and similar methodologies.
- Partner with data scientists and ML researchers to optimize the model training pipeline and ensure efficient resource utilization.
- Lead innovations in infrastructure practices to support pioneering machine learning research and development.
Qualifications
- PhD or Master's degree in computer science or a related discipline, with over 5 years of relevant industry experience.
- Demonstrated expertise in Python and the development of systems, frameworks, and SDKs.
- Strong background in infrastructure, with a comprehensive understanding of model serving, training, orchestration, and GPU resource management.
- Experience with machine learning and distributed PyTorch.
- Exceptional critical thinking, analytical, and quantitative problem-solving skills.
- Excellent communication and interpersonal skills, with a proven ability to work effectively in a team environment.
Preferred Qualifications
- Familiarity with KubeFlow, MLFlow, Ray, SageMaker, or similar platforms.
- Experience with Nvidia HPC.
- Knowledge of PyTorch distributed, MPI, Megatron, Horovod, and other AI training frameworks.
Compensation and Benefits
Our compensation reflects the labor market across various U.S. regions, with pay differing based on defined markets. The U.S. salary range for this position is $170,900 to $325,200 annually, with variations based on work location and job-related knowledge, skills, and experience.
Adobe is proud to be an Equal Employment Opportunity and affirmative action employer, ensuring that we do not discriminate based on gender, race, ethnicity, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. We are committed to creating an inclusive environment for all employees.
Adobe aims to make our resources accessible to all users. If you require accommodations to navigate our website or complete the application process, please reach out for assistance.
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