Senior Applied Researcher

Adobe · San Jose, CA · Engineering and Product

senior machine learning Research Scientist ic 10+ yrs Master's · Posted Mar 16, 2026
$190,200 – $345,650
USD per year

About this role

Adobe is hiring a senior-level Research Scientist in the machine learning function based in San Jose, CA. The posting calls out experience with Python, Java, Scala, SQL and roughly 10+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $190,200–$345,650 per year.

Role
Research Scientist
Function
machine learning
Level
senior
Track
Individual contributor
Employment
Full-time
Location
San Jose, CA
Work mode
On-site
Experience
10+ years
Education
Master's degree
Department
Engineering and Product
Posted
Mar 16, 2026
AI Summary
Senior Applied Researcher developing generative AI and ML models for Adobe's Digital Experience platform. Designs and deploys production ML systems, provides technical leadership on model evaluation and architecture. Requires PhD/MS in Computer Science, 10+ years applied research experience with 5+ years in ML model development and production deployment.
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Job description

from Adobe careers

The Opportunity 

Adobe is looking for a Senior Applied Researcher to use Generative AI and Machine Learning techniques to help Adobe better understand, lead, and optimize the experience of Adobe’s Digital Experience customers.  Partnering with Adobe Research and other business units, the candidate will be building products that transform the way companies approach audience creation, journey optimization, and personalization at scale. You will join a diverse, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, collaborative and data-driven. 

NOTE THIS ROLE IS IN THE SAN JOSE OFFICE YOU MUST BE IN SJ OR WILLING TO RELOCATE FOR THIS POSITION.

 

What you'll do 

  • Partner with Adobe Research to develop cutting edge models! 

  • Design and build applications powered by generative AI, including working on traditional engineering problems such as defining APIs, integrating with UIs, deploying Cloud services, CICD, etc., as well as implementing ML- and LLM-Ops best practices.  

  • Engage in the product lifecycle, design, deployment, and production operations. 

  • Provide technical leadership in everything from architectural design and technology choices to holistic evaluation of ML models.  

 

What you need to succeed 

The ideal candidate will have the following background: 

This is an excerpt. Read the full job description on Adobe careers →