Applied Scientist

Adobe

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Work type
On-site
Location
Seattle, WA
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $202k
$131k $270k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$241,906.

Based on 240 similar postings.

Employer

About Adobe

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 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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At a glance

TL;DR · Applied Scientist

The Applied Scientist joins the Adobe Applied Science & Machine Learning group within the Data Research organization to build next-generation creative tools. This role focuses on image and video understanding and generation, requiring the development of scalable modeling algorithms for production systems. The successful candidate will develop and fine-tune large-scale foundation models, including Vision Transformers, Vision Language Models, and multimodal encoders. Key responsibilities include converting research papers into Python code using machine learning development toolkits and implementing distributed training strategies. The position requires expertise in diffusion models, alignment methods, and multimodal understanding. Candidates must possess a strong publication record in Computer Vision or AI/ML, proficiency in PyTorch, and hands-on experience working with large-scale datasets to solve complex generative AI problems in the creativity domain.

What does a Applied Scientist earn?

Median $208800 from 61 postings across 10 companies.

See salary data

What you'll do

  • Develop and implement scalable modeling algorithms for large-scale production systems.
  • Develop and fine-tune large-scale foundation models for video understanding and generation.
  • Convert research ideas and academic papers into production-ready Python code.
  • Translate the latest ML research into practical solutions for Adobe products.
  • Work with large-scale datasets to improve image and video understanding.
  • Implement distributed training strategies for large-scale machine learning models.

What we're looking for

  • Master's or Ph.D. in Computer Science, AI/ML, or related fields.
  • Strong proficiency in Python and PyTorch.
  • Solid foundation in computer science fundamentals.
  • Experience with distributed training and its common strategies.
  • Experience in state-of-the-art Generative AI technologies, such as VLMs and diffusion models.
  • Strong hands-on experience working on image/video understanding, generation, and editing.
  • Experience working with large-scale datasets.
  • Good publication record in Computer Vision, AI/ML, or related fields.

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