Qualifications Master's degree or above in Computer Science or a related field, or equivalent practical experience Strong proficiency in Python and PyTorch Solid foundation in computer science fundamentals Experience with distributed training and its common strategies Experience working with large and complex code bases, employing API design techniques to maintain clean and maintainable code Excellent communication and collaboration skills Think creatively about troubleshooting, debugging, and solving complex, hard-to-reproduce problems Proficiency in SDK development and architecture Familiarity with container orchestration technologies like Kubernetes and EC2 Responsibilities Design and implement reusable and scalable training framework that supports different deep learning models in large-scale and distributed environments Design, architect, implement, and optimize the various components of the training framework, primarily using Python, PyTorch, used by numerous internal users Collaborate closely with ML Researchers and Machine Learning engineers to accelerate the training of the cutting-edge ML models Lead projects from scoping requirements to launch, ensuring ongoing support Identify and resolve usability, extensibility, scalability issues specific to the framework Stay updated with the latest test, development, and deployment practices, and actively share knowledge with the team and community Benefits The U.S. pay range for this position is $135,200 $250,900 annually At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC base commission), and short-term incentives are in the form of sales commission plans Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP) In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award J-18808-Ljbffr