About the Role:

This role targets excelling talent needed for key product areas, requiring significant domain expertise to accelerate critical initiatives. You will be expected to materially improve the quality and controllability of Adobe’s generative multimodal models. This involves strengthening Adobe’s competitive position in generative AI quality and alignment through sustained improvements in mid-training capabilities.

Key Responsibilities:

• Design and implement end-to-end training pipelines to build and improve editing quality for both images and videos.
• Lead core development for specific mid-training areas (e.g., image to image and image to video editing), while aligning with broader team strategy.
• Identify quality gaps in generative models and propose targeted mid-training solutions.
• Develop scalable workflows for data curation, data quality improvements, and distributed training.
• Increase engineering velocity and reducing iteration cost by systematizing mid-training experimentation and deployment.
• Partner closely with research, data, evaluation, infrastructure, pre-training and post-training teams to push the editing quality for both images and videos.
• Mentor junior engineers and contribute to raising the technical bar of the mid-training team.