Adobe · 2 days ago
Principal Scientist
San Jose, CA
Full-time
Onsite
Lead/Staff
$206K/yr - $379K/yr
10+ years expAdobe is a company dedicated to changing the world through digital experiences. They are seeking a Principal Scientist to build and implement an AI framework for Adobe Express, focusing on large-scale data infrastructure and real-time customer-facing intelligence.
Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
Responsibilities
Architect and evolve the complete AI stack for Adobe Express — covering Agentic AI, Construct AI, Imaging AI, Motion AI, and Personalization AI
Develop and operationalize end-to-end systems — integrating microservices, data pipelines, LLM orchestration layers, in-house and third-party models, databases, caches, session analytics, and evaluation systems into a cohesive architecture
Develop large-scale data and inference infrastructure to support model training, fine-tuning, evaluation, and deployment — employing Spark, Kafka, Flink, and other distributed frameworks
Develop high-performance runtime services for inference and orchestration with strong observability, fault tolerance, and latency guarantees
Apply strong caching and storage tactics to enhance efficiency and cost-effectiveness for various AI workloads
Lead development of experimentation and evaluation systems, encompassing session-level analytics, feedback loops, and quality metrics that drive continuous improvement
Work closely with applied research, product, and platform teams to implement LLMs and other AI models into customer-facing services
Drive architectural strategy for Express AI Foundations — connecting ML models, reasoning engines, and data streams into adaptive, intelligent systems
Mentor senior engineers and scientists, encouraging excellence across architecture, experimentation, and AI system composition
Qualification
Required
10+ years of experience in large-scale distributed systems AI infrastructure, or ML platform engineering
Deep understanding of ML and LLM fundamentals — training, fine-tuning, deployment, and evaluation workflows
Proven expertise in building and scaling data pipelines, real-time streaming systems, and event-driven architectures (Kafka, Spark, Flink, etc.)
Strong background in caching strategies, database development, and performance optimization for large-scale serving systems
Hands-on experience with LLM orchestration frameworks, model routing, and multi-model inference
Proficiency in Python, Java, C++, or Go, with an emphasis on distributed systems, cloud-native deployment, and performance tuning
Familiarity with Agentic AI patterns — reasoning loops, memory persistence, task decomposition, and multi-agent coordination
Skill to merge engineering precision with practical research understanding, connecting prototyping and production
Strong communication and collaboration skills, with experience influencing cross-functional technical direction
Preferred
Bachelor's or equivalent experience in Computer Science, Data Science, Machine Learning, or a related technical field
Experience architecting AI assistants, build agents, or multimodal creative systems
Exposure to Generative AI (LLMs, diffusion, or multimodal architectures)
Experience with MLOps pipelines, feature stores, and model registries
Track record of open-source contributions, publications, or conference presentations
Benefits
Long-term incentives in the form of a new hire equity award
Company
Adobe
Adobe is a software company that provides its users with digital marketing and media solutions.
10001+ employees
H1B Sponsorship
Adobe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)
Funding
Current Stage
Public CompanyTotal Funding
$2.5MKey Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M
Leadership Team
Shantanu Narayen
CEO
Dan Durn
Chief Financial Officer
Recent News
2026-01-03
2026-01-03
Company data provided by crunchbase