Sr. Applied Scientist
Adobe
At a glance
AI generatedAs a Junior Machine Learning Engineer on Adobe’s cutting-edge generative AI team, you will play a pivotal role in enhancing the quality and controllability of multimodal models for images and videos. Your responsibilities include designing end-to-end training pipelines, leading core development for pre-training areas like text to image and video, and developing scalable workflows for data curation and distributed training. You will collaborate closely with research, evaluation, and infrastructure teams to improve model quality and address capability limitations through higher-quality data and better training recipes. Ideal candidates have a Ph.D. in Computer Science or related fields, experience with large-scale multimodal models, and expertise in Vision-Language Models (VLMs) and diffusion-based architectures like DiT. Strong skills in scalable pipeline design, distributed training, and model optimization for high-throughput environments are essential.
Skills
What you'll do
What we're looking for
Market check
This $216,400–$313,300 range sits above 93% of similar postings on FindRole.
Peer median band
$122,372–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$139,100–$209,000
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software
Adobe currently has 290 open roles on FindRole.
Listed pay typically runs $183,300–$265,350 across 290 roles with salary data.
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