Adobe is hiring a Staff Machine Learning Engineer for its Brand AI Services team in San Jose, CA (onsite).

Lead end-to-end design, development, and deployment of multimodal and generative AI systems across vision, language, and additional modalities
Build and productionize generative AI models and systems, including transformers, diffusion models, LLMs, and vision-language models (VLMs) for content creation, understanding, and transformation
Develop agentic AI systems that can reason, use tools, interact with models and services, and execute complex multi-step creative workflows
Create intelligent capabilities for Firefly AI Assistant and Creative Cloud workflows to help creative professionals move from intent and ideas to high-quality outcomes
Develop scalable services and APIs that integrate AI and machine learning capabilities into Adobe products
Drive the full ML lifecycle: problem formulation, modeling, experimentation, evaluation, deployment, monitoring, and iteration
Partner with engineering, product, design, and research teams to translate customer needs into effective ML solutions
Improve performance, scalability, reliability, and quality for AI systems in high-traffic production environments
Provide technical leadership and mentor engineers to raise the engineering and machine learning bar across the team
Identify opportunities to apply generative and agentic AI to real-world challenges for creative professionals and enterprise customers

MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience
5+ years building and deploying machine learning systems in production
Hands-on experience designing and building agentic AI systems, including tool use and agent orchestration, multi-step workflows, planning and reasoning, retrieval, memory, and human-in-the-loop systems
Experience with agent interoperability and tool integration, including Model Context Protocol (MCP), function/tool calling, or similar frameworks and protocols
Expertise in computer vision, generative AI, and/or multimodal machine learning, with hands-on experience using modern architectures such as transformers, diffusion models, LLMs, or VLMs
Strong foundation in probability, statistics, machine learning, and model evaluation
Proficiency in Python and experience with ML frameworks such as PyTorch
Experience designing and building scalable APIs, distributed services, or production ML infrastructure
Strong software engineering fundamentals, including data structures, algorithms, testing, code quality, and code reviews
Experience with cloud platforms such as AWS or Azure, plus containerization and orchestration such as Docker and Kubernetes
Familiarity with modern AI-assisted development tools and workflows, including ChatGPT, Claude, Cursor, or similar tools, used for development, experimentation, or productivity

Experience building production agentic AI platforms or multi-agent systems, including agent evaluation, observability, reliability, or safety
Experience with multimodal learning across video, audio, or 3D data
Background in video understanding or generation, temporal modeling, or streaming ML systems
Experience fine-tuning, adapting, or optimizing large-scale foundation models
Knowledge of AI evaluation, safety, and responsible AI practices
Experience with agent frameworks, orchestration platforms, retrieval systems, or enterprise knowledge integration
Experience building AI-powered tools or workflows for creative professionals, content creation, or creative applications
Contributions to research, open-source projects, or applied machine learning innovation

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

Staff Machine Learning Engineer

Job Description