Staff Full Stack Engineer AI/ML, Adobe GenStudio

The Opportunity We are seeking a highly experienced and innovative Staff Software 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. What You’ll Do 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. What You’ll Need to Succeed 10+ years of experience in software engineering, with a strong track record of technical leadership. Bachelor's or advanced degree in Computer Science or a related field (or equivalent experience). Deep understanding of front and back-end development technologies, including JavaScript library like React, Java and NodeJS Proficiency in Python (especially for data workflows) and experience with ML/DL frameworks such as PyTorch, TensorFlow/Keras, CUDA, Hugging Face, and JAX. 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. 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. Preferred Attributes Recognized as a leader with vision 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. About Adobe 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 GenStudio 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 anywher ... (truncated, view full listing at source)