Principal Engineer AI/ML

Adobe Systems Incorporated•San Jose, CA

41d

About The Position

Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity We are seeking a highly experienced and innovative Principal Engineer to join the GenStudio Engineering team. This role is ideal for a technical leader who thrives in a fast-paced environment and is passionate about building scalable, high-impact software solutions. You will drive architectural decisions, mentor engineers, and influence the technical direction of GenStudio.

Requirements

14+ years of experience in software engineering, with a strong track record of technical leadership.
Bachelor's or Master's degree in Computer Science or a related field (or equivalent experience).
Proven expertise in Machine Learning and Deep Learning, including model design, optimization, and fine-tuning.
Strong understanding of transfer learning principles and their application in production settings.
Proficiency in Python (especially for data workflows) and experience with ML/DL frameworks such as PyTorch, TensorFlow/Keras, CUDA, Hugging Face, and JAX.
Experience designing and deploying scalable AI/ML systems optimized for GPU/TPU environments.
Solid grasp of data engineering concepts-including dataset management, feature engineering, and handling data drift.
Ability to balance theoretical ML knowledge with practical, high-performance implementation.
Strong understanding of how to transform models into reliable, production-grade services.

Nice To Haves

Recognized as a thought leader within and beyond the organization.
Experience mentoring senior engineers and shaping engineering culture.
Demonstrated ability to drive innovation and evangelize new technologies.
Experience with building GenAI-first applications.
Contributions to industry forums, conferences, or open-source communities.

Responsibilities

Design, build, test, and maintain AI/ML-based systems and applications that serve as the backbone of scalable, production-ready technology stacks.
Frame product features as ML tasks (e.g., classification, recommendation, context engineering).
Analyze trade-offs across cost, latency, and accuracy while ensuring compliance with UX, privacy, legal, and security constraints.
Assess data distribution (variance, sampling, drift) and manage data labeling workflows involving LLMs, SMEs, or user-generated activity.
Organize datasets for training, validation, and testing, and engineer high-quality features using normalization, smoothing, and weighting techniques.
Implement and adapt techniques from academic research and industry papers; evaluate algorithmic trade-offs considering data requirements, latency, and runtime.
Handle cold-start scenarios and mitigate overfitting/underfitting challenges.
Define offline benchmarks and metrics; design and analyze A/B tests to validate online performance.
Architect scalable ML systems (e.g., multi-agent, recommender, active learning, multi-stage model training, enterprise search) for both offline and online workflows.
Optimize model development and deployment in GPU/TPU environments using PyTorch.
Work cross-functionally with data, research, and product teams to translate models into production-ready services.