Senior Applied Scientist
Core
Develop and refine post-training pipelines (SFT, DPO/GRPO, distillation) to improve the quality, efficiency, and deployability of Adobe Firefly's generative AI models for images and videos.
Role type
Senior Applied Scientist / Machine Learning Engineer (Generative AI)
Builds
Production-ready generative AI models and training pipelines for Adobe Firefly
Domain
Generative AI, Large Language Models (LLMs), Computer Vision
Deliverable
production ML models
Required skills
Machine learning algorithms, Model distillation techniques, Python programming, AI model training and optimization, Supervised fine-tuning (SFT), Preference optimization (DPO/GRPO), Reward-based learning, Model compression, Inference optimization
Preferred skills
Advanced degree, Large-scale data pipelines, Adobe products knowledge
Technologies
Python, SFT, DPO, GRPO, Model Distillation, Model Compression
Responsibilities
Develop distillation pipelines to transfer capabilities from teacher to student models; Refine post-training methods including SFT and preference optimization; Build infrastructure for training workflows and data pipelines; Conduct experiments to improve model quality and instruction alignment; Collaborate with research teams to scale training pipelines to production; Evaluate models using automated metrics and human preference signals; Optimize models for deployment efficiency. (via careerplan.io/jobs/R169113-1-senior-applied-scientist-at-adobe)
Seniority
Senior, hands-on IC
