Applied Scientist 3

Join Adobe Firefly’s Applied Science & Machine Learning (ASML) group and help advance content generation technologies powered by artificial intelligence. This role involves working closely with a motivated team on refining and compressing large-scale AI models. Your efforts will affect millions of users. 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 candidate will collaborate with researchers and engineers to build and refine post‑training pipelines such as supervised fine‑tuning (SFT), preference optimization, and model distillation. These efforts will facilitate adapting large complex models into efficient production versions. Job Responsibilities 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. What You Need to Succeed MS or PhD in Computer Science or related field. 2+ years of practical experience in a related field. Expertise in machine learning algorithms and model distillation techniques. Strong programming skills in Python or similar languages. Experience with AI model training and optimization. Preferred qualifications: Advanced degree or relevant experience in a related field, background in large‑scale data pipelines, and knowledge of Adobe products. Expected Pay Range The U.S. pay range for this position is $120,700 – $238,600 annually. In California, the pay range is $164,800 – $238,600. Equal Employment Opportunity Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Legal Notices Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #J-18808-Ljbffr