Senior Applied Researcher
Listed on 2026-07-03
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
The Opportunity
Adobe Express empowers users to seamlessly construct striking designs, whether they are novices or experienced engineers, on a user-friendly platform improved by groundbreaking AI capabilities. The AI Foundations team sits at the core of this vision, driving innovation to make Adobe Express smarter, faster, and more adaptive! By developing modular, reusable AI systems and crafting a robust Horizon AI Stack, this team will play a pivotal role in transforming creative workflows.
Joining this team means crafting the future of creativity, solving complex engineering challenges, and delivering scalable AI solutions that redefine what is possible in design!
- Build innovative machine learning models that drive agentic and other generative AI scenarios for Adobe Express.
- Develop and deploy advanced ML models in areas such as computer vision, NLP, and multimodal learning.
- Contribute to foundational AI systems for intelligent assistance, layout automation, image generation, and motion storytelling.
- Design and build modular ML components that integrate into Adobe’s Horizon AI Stack and serve multiple creative workflows.
- Drive the end-to-end ML lifecycle—from experimentation to evaluation, optimization, and production deployment.
- Collaborate closely with Adobe Research, engineering, and product teams to bring AI-powered features to life.
- Design evaluation strategies using a combination of automated metrics, LLM-based judges, and user feedback.
- Masters or PhD in Computer Science, Computer Engineering, Data Science, Machine Learning, or a related field with equivalent experience.
- 5+ years of industry experience in machine learning and product development related to AI.
- Strong programming skills and proficiency in ML frameworks such as PyTorch, Tensor Flow, or JAX.
- Experience with modern ML architectures including transformers, visual transformers, diffusion models, or GANs.
- Experience with cloud platforms, MLOps and deploying ML systems in production at scale.
- Be able to quickly read, understand and prototype relevant research papers.
- Experience with Large Language Models and model adaptation techniques (e.g., PEFT, SFT, RL).
- Familiarity with agent-based systems, intelligent assistants, or planner-based AI.
- Experience in creative, imaging, or multimedia domains.
- Publications in renowned ML/CV/AI conferences such as NeurIPS, CVPR, ICML, SIGGRAPH.
- Passion for creativity and learning with a drive to improve solutions.
- Be up to date with the latest and greatest in AI research.
- Comfortable working in a fast, iterative, and ambiguous environment.
- Strong communication skills with the ability to explain technical ideas and experiment results clearly.
- Collaborative spirit with a focus on product impact, AI/ML innovation and engineering excellence.
Our 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
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 – $270,950 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $187,100 - $270,950. In Washington, the pay range for this position is $168,600 - $244,200.
State-Specific NoticesCalifornia:
Fair Chance Ordinances – Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice – If this role is open to hiring in Colorado, the…
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