Applied Scientist

Adobe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$146,300–$211,850 / yr
Posted
80 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k
This role $179k
$126k most similar roles pay here $249k

This role pays less than 52% of similar roles. Most pay $142,500–$237,250 — the shaded band above. At the midpoint, this role pays about $179k versus about $190k for comparable roles.

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 218 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 216 roles with salary data.

Most-posted roles

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At a glance

TL;DR · Applied Scientist

As an Applied Scientist within the Adobe Applied Science & Machine Learning group, you will join the Data Research team to build next-generation creative tools and digital experiences. You will be responsible for developing and implementing scalable modeling algorithms for production systems, as well as fine-tuning large-scale foundation models like ViTs, VLMs, and multimodal encoders for video understanding and generation. Your daily work involves translating research papers into Python code using standard machine learning toolkits while staying current on diffusion models and alignment methods. To succeed, you must possess a Master's or Ph.D. in a relevant field, with expertise in PyTorch, distributed training, and large-scale datasets. The role focuses specifically on the technical challenges of image and video understanding, generation, and editing to advance creative technology for global users.

What does a Applied Scientist earn?

Median $208800 from 47 postings across 10 companies.

See salary data

What you'll do

  • Develop and implement scalable modeling algorithms for large-scale data in production systems.
  • Fine-tune large-scale foundation models including ViTs, VLMs, and multimodal encoders for video understanding and generation.
  • Translate research ideas and academic papers into functional Python code using machine learning toolkits.
  • Monitor the latest ML research in diffusion models and alignment methods to create practical solutions.
  • Implement advanced generative AI technologies such as vision-language models and diffusion models.
  • Develop features for Adobe products that improve digital experiences and creative tools.

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 common strategies.
  • Expertise in state-of-the-art Generative AI technologies, including VLMs and diffusion models.
  • Hands-on experience in image/video understanding, generation, and editing.
  • Proven track record of peer-reviewed academic publications in Computer Vision or AI/ML.
  • Experience working with large-scale datasets and developing scalable modeling algorithms for production systems.

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