Staff Machine Learning Engineer

What you'll do

• Design and deploy production-grade multimodal and generative AI systems including transformers, diffusion models, and LLMs.
• Build agentic AI systems capable of reasoning, tool use, and executing multi-step creative workflows.
• Develop scalable services and APIs to integrate machine learning capabilities into Adobe products like Firefly and Creative Cloud.
• Manage the end-to-end ML lifecycle including problem formulation, experimentation, evaluation, and monitoring in high-traffic environments.
• Translate customer needs from product and design teams into effective technical machine learning solutions.
• Provide technical leadership and mentorship to improve engineering standards across the team.
• Identify new opportunities to apply generative and agentic AI to solve real-world challenges for enterprise customers.

What we're looking for

• MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
• 5+ years of experience building and deploying machine learning systems in production.
• Hands-on experience designing and building agentic AI systems including tool use, orchestration, planning, and reasoning.
• Expertise in computer vision, generative AI, and multimodal machine learning using architectures like transformers, diffusion models, LLMs, or VLMs.
• Proficiency in Python and experience with machine learning 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, and code quality.
• Experience with cloud platforms (AWS/Azure) and containerization technologies like Docker and Kubernetes.
• Experience with multimodal learning across video, audio, or 3D data (preferred).
• Experience fine-tuning, adapting, or optimizing large-scale foundation models (preferred).
• Knowledge of AI evaluation, safety, and responsible AI practices (preferred).