Senior Applied Scientist

Adobe

Applied Scientist at Adobe raising the quality and deployability of generative AI models for images and videos. Collaborating with researchers to build and refine post-training pipelines.

Posted 5/27/2026full-timeSan Jose • California, Washington • 🇺🇸 United StatesSenior💰 $142,700 - $270,950 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop and run distillation pipelines to transfer capabilities from large teacher models into smaller, efficient student models.
Carry out and refine post-training methods including supervised fine-tuning (SFT), preference optimization (DPO/GRPO), and reward-based learning.
Build infrastructure and tools for teacher rollout creation, distillation data pipelines, and training workflows.
Carry out experiments aimed at improving model quality, efficiency, and instruction alignment for generative AI models.
Collaborate closely with research scientists to convert research ideas into scalable training pipelines and production-ready implementations.
Evaluate models using both automated metrics and human preference signals to guide post-training improvements.
Optimize models for deployment efficiency, including distillation, model compression, and inference performance.
Collaborate with various groups such as data, research, and product units to incorporate post-training improvements into Adobe Firefly systems.

Requirements

What you’ll need

Expertise in machine learning algorithms and model distillation techniques
Strong programming skills in Python or similar languages
Experience with AI model training and optimization
Advanced degree or relevant experience in a related field, background in large-scale data pipelines, and knowledge of Adobe products.

Benefits

Comp & perks

Health insurance
Retirement plans
Flexible work arrangements
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learning algorithmsmodel distillation techniquesPythonsupervised fine-tuningpreference optimizationreward-based learningmodel compressioninference performancetraining workflowsdistillation data pipelines

Soft Skills

collaborationcommunication

Certifications

advanced degree in related field