Adobe

Principal Applied Researcher

San Jose, USA · Principal

Sponsorship not specified$206k-$388kDetected 10 hours ago

ExpressCloud PlatformsMachine LearningTensorFlowPyTorchData ScienceNLPComputer VisionLLMsMLOpsA/B TestingResearchCommunication

About the role

The AI Foundations team sits at the core of this vision, driving innovation to make Adobe Express smarter, faster, and more adaptive!

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.
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!
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.
By developing modular, reusable AI systems and crafting a robust Horizon AI Stack, this team will play a pivotal role in transforming creative workflows.

Strong programming skills and proficiency in ML frameworks such as PyTorch, TensorFlow, 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.

Experience with Large Language Models and model adaptation techniques (Ex: PEFT, SFT, RL etc.)
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 (e.g., NeurIPS, CVPR, ICML, SIGGRAPH).
What You Need to Succeed
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.

If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

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 $206,300 -- $388,000 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 $268,000 - $388,000In Washington, the pay range for this position is $247,200 - $357,900
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.

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.
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

This listing is sourced directly from Adobe's careers page and normalized into a canonical job model.