Senior Machine Learning Engineer

The opportunity

Adobe is seeking Senior Machine Learning Engineers who excel at turning research breakthroughs into innovative product features. In this role, you will focus on scouting, adapting, and improvising the latest research to advance Adobe’s AI capabilities in Natural Language, Image/Video generation, editing, and multimodal AI that impact millions of users.

We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and large language models. Familiarity with inference optimization, performance trade-offs, and scalable integration will be an asset. We are looking for a candidate who is motivated by moving fast with research and innovation and wants their ideas to shape the future of Adobe products.

• Transform innovative research concepts into practical applications within the realm of Generative AI, LLMs, Reinforcement learning, Reasoning, and Evaluations.
• Prototype and experiment rapidly, demonstrating feasibility and business impact.
• Push beyond academic results to develop and deploy practical, differentiated innovations for Adobe’s products.
• Collaborate with world‑class researchers and ML engineers to bring research ideas to production.
• Publish and present your work in world‑class scientific venues in AI/ML fields.
• Develop and enhance GPU‑accelerated pipelines for (customized) model training and inference, focusing on performance, scalability, and reliability.
• Foster a culture of innovation, technical excellence, and continuous improvement across the organization.

• Ph.D., Master’s, or equivalent experience in Engineering, Computer Science, AI/ML, or related fields and 7+ professional years of experience.
• Research or industry experience in training AI/ML models in at least one of the following modalities: multimodal LLMs, Image, Video.
• Proficiency in training and optimizing large‑scale models, involving data curation, distributed training, and memory‑efficient strategies.
• Experience with post‑training techniques such as fine‑tuning, alignment, or distillation.
• Proficiency with modern deep learning frameworks (e.g., PyTorch) and experience scaling models on GPU/TPU clusters.
• Excellent communication skills and a strong collaborator.

• Experience on large‑scale generative model training.
• Experience on synthetic data generation.
• Previous involvement with product teams in technology transfers.
• Experience working with large‑scale datasets.

The U.S. pay range for this position is $151,800 – $265,350 annually. In California, the pay range is $183,300 – $265,350. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience.

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.