Applied Scientist & Research Engineer

Adobe

San Jose (CA)

Hybrid

USD 94,000 - 127,000

Part time

14 days+

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Job summary

Adobe Research in San Jose invites PhD or master's students to join a cutting-edge internship in ML, CV, and AI-powered experiences. Under a mentor, you will develop novel algorithms, run experiments, and contribute to demonstrations or publications.

The 2027 internship is co-located and hybrid; you’ll work with teams across domains, document results, and help translate research into product-facing features while gaining hands-on experience at a leading tech company.

Qualifications

  • Current PhD or master's student in computer science or related field (exceptional undergraduates considered).
  • Ability to scope or formulate a research question, design baseline and evaluation methodology, and reason about ML/statistical fundamentals.
  • Strong communication skills and teamwork experience.
  • Comfort working across the spectrum from open-ended research to applied, product-facing development, according to project specifications.

Responsibilities

  • Pursue a research problem to apply to Adobe's products, with possible publication or direct product integration.
  • Develop new algorithms, run experiments, and produce demonstration prototypes.
  • Translate research into working models, pipelines, or product-facing features as project Focus dictates.
  • Document and present your work clearly and in writing.

Skills

Research planning
ML fundamentals
Communication & teamwork
Open-ended to applied work

Education

Current PhD or Master’s student in CS

Job description

Adobe Research in San Jose invites PhD or master's students to join a cutting-edge internship in ML, CV, and AI-powered experiences. Under a mentor, you will develop novel algorithms, run experiments, and contribute to demonstrations or publications.

The 2027 internship is co-located and hybrid; you’ll work with teams across domains, document results, and help translate research into product-facing features while gaining hands-on experience at a leading tech company.

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