Sr Machine Learning Engineer, Adobe Firefly Services

Job Responsibilities: Design and development of core GenAI services and APIs that integrate a wide range of generative models into Adobe's flagship products. Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization. Build and optimize GPU‑accelerated pipelines for both customized model training and inference, prioritizing performance, scalability, and reliability. Foster a culture of innovation, technical excellence, and continuous improvement across the organization. What You’ll Need to SucceedMS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.4‑7+ years of experience in machine learning, including production‑scale deployments.2+ years of experience leading large‑scale, GPU‑intensive GenAI systems (training, inference, and optimization).Experience with GenAI frameworks and tools such asPyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python .Good understanding of generative model architectures, includingdiffusion models, transformers, and GANs .Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.

Preferred Qualifications: Experience with model serving, inference, orchestration, and GPU resource management in large‑scale environments. Hands‑on expertise inKubernetes, distributed systems, and MLOps platforms. Compensation

Expected Pay Range: $151,800 – $265,350 annually in the U.S. (California: $183,300 – $265,350; Washington: $165,600 – $239,725).EEO Statement 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.