Applied Scientist / Machine Learning Engineer

About the Role Adobe Firefly’s Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models to join the team. This role will focus on raising the quality, efficiency, and deployability of Adobe’s generative models for images and videos. The chosen candidate will collaborate with researchers and engineers to build and refine post-training pipelines such as supervised fine-tuning, preference optimization, and model distillation.

What You'll Do

• 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, preference optimization, 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.

What We're Looking For

• Expertise in machine learning algorithms and model distillation techniques.
• Strong programming skills in Python or similar languages.
• Experience with AI model training and optimization.

Nice to Have

• Advanced degree or relevant experience in a related field, background in large-scale data pipelines, and knowledge of Adobe products.

Compensation & Benefits

• Salary range: USD 142,700 – 270,950 annually (for U.S. markets); the pay range may vary by location and experience.