Senior Applied Scientist

Adobe Media and Data Science Research (MDSR) Laboratory

Base: $164,000 - $313,300 annually (us); californi...
Ph.d. in computer science or machine learning
Pre-training of large-scale multimodal models
Deep understanding of diffusion-based architectures (dit)
This role targets an elevated profile to handle high-visibility projects and build foundational capabilities for Adobe's generative multimodal models

Job Summary

  • This role targets an elevated profile to handle high-visibility projects and build foundational capabilities for Adobe's generative multimodal models.
  • Candidates will be expected to materially improve the quality and controllability of image and video generation through advanced pre-training and data strategies.
  • Adobe empowers everyone to create through innovative platforms like Firefly and Creative Cloud, driven by human ingenuity and AI.

Matching Summary

This role targets an elevated profile to handle high-visibility projects and build foundational capabilities for Adobe's generative multimodal models.

Salary

Base: $164,000 - $313,300 annually (US); California specific range: $216,400 - $313,300; Short-term incentives via Annual Incentive Plan (AIP) and potential equity awards

Skills & Requirements

Must-have

  • Ph.D. in Computer Science or Machine Learning
  • Pre-training of large-scale multimodal models
  • Deep understanding of diffusion-based architectures (DiT)
  • Experience with Vision-Language Models (VLMs)
  • Scalable pipeline design for distributed training

Nice-to-have

  • Strong publication record in AI research
  • Previous industry-level intern experience
  • Optimization of model inference for high-throughput environments
  • Collaboration across cross-functional research teams

Key Requirements

  • Ph.D. preferred in Computer Science, Machine Learning, or related field
  • Proven track record in pre-training cross-modality models for images and video
  • Deep expertise in contrastive learning and multimodal alignment techniques
  • Experience optimizing model inference for product environments

Work Rights

Not specified

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