Senior Applied Researcher

Adobe

Actively hiring Posted this week Verified listing
San Jose · Seattle, WA · San Francisco, CA Posted 3 days ago $187,100–$270,950 / year
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99+ other roles within 25 mi Near San Jose

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Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $229k
$102k most similar roles pay here $289k

This role pays more than 80% of similar roles. Most pay $135,000–$219,043 — the shaded band above. At the midpoint, this role pays about $229k versus about $177k 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 317 open roles on FindRole.

Listed pay typically runs $187,100–$270,950 across 317 roles with salary data.

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At a glance

TL;DR

As a Senior Machine Learning Engineer on the AI Foundations team at Adobe Express, you will build innovative machine learning models that drive agentic and generative AI scenarios, contributing to foundational AI systems for intelligent assistance and layout automation. Your day-to-day involves designing modular ML components that integrate into Adobe’s Horizon AI Stack, driving the end-to-end ML lifecycle from experimentation to production deployment, and collaborating with research, engineering, and product teams to deliver cutting-edge features. You will need strong programming skills in Python, proficiency in frameworks like PyTorch or TensorFlow, experience with cloud platforms for MLOps, and familiarity with modern architectures such as transformers and diffusion models. This role requires a deep understanding of AI research trends and the ability to work effectively in a fast-paced environment, delivering scalable solutions that redefine creative workflows at scale.

Skills

Python PyTorch TensorFlow JAX Transformers Diffusion Models GANs MLOps Cloud Platforms CI/CD Adobe Horizon AI Stack

What you'll do

  • Build innovative machine learning models for Agentic and Generative AI in Adobe Express.
  • Develop advanced ML models in computer vision, NLP, and multimodal learning areas.
  • Contribute to foundational AI systems for intelligent assistance and layout automation.
  • Design modular ML components that integrate into Adobe’s Horizon AI Stack.
  • Drive the end-to-end ML lifecycle from experimentation to production deployment.
  • Collaborate with research teams to design evaluation strategies using automated metrics and user feedback.

What we're looking for

  • Masters or PhD in a relevant technical field with 5+ years of industry experience.
  • Strong programming skills and proficiency in ML frameworks like PyTorch, TensorFlow, JAX.
  • Experience developing advanced ML models in computer vision, NLP, and multimodal learning.
  • Expertise in modern ML architectures including transformers, diffusion models, and GANs.
  • Ability to deploy ML systems at scale using cloud platforms and MLOps practices.

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