Senior Machine Learning Engineer
Listed on 2026-03-13
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IT/Tech
AI Engineer, Data Scientist, Machine Learning/ ML Engineer, Artificial Intelligence
Senior Machine Learning Engineer
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 the field of 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, and Natural Language Processing, 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.
WhatYou Will Do
- Transform innovative research concepts into practical applications within the realm of Generative AI, LLMs, Reinforcement learning, Reasoning, 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. or Masters or equivalent experience in Engineering, Computer Science, AI/ML or related fields and 7+ professional 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 great teammate.
- Experience on large‑scale generative model training.
- Experience on synthetic data generation.
- Previous involvement with product teams in technology transfers.
- Experience of working with large‑scale datasets.
- 4-7 years of experience in relevant fields.
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry‑leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and Gen Studio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
EqualEmployment 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.
AI Use Guidelines for InterviewsOur interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
ExpectedPay Range
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