Senior Machine Learning Engineer

Adobe • San Jose, CA

1d

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 Adobe is looking for a Senior Machine Learning Engineer to help shape the future of agentic AI in the enterprise. In this role, you will design, build, and scale cutting-edge platforms and products that redefine how enterprises create and optimize customer experiences and marketing campaigns. You wil l play a key role in advancing AEP Agent Orchestrator —a foundational platform layer that manages and connects Adobe and third-party agents. Y o u will work in a fast-moving, high-impact environment with a team of talent engineers and applied scientists where creativity, collaboration, and data-driven innovation come together to make a real difference.

Requirements

• PhD or MS degree in Computer Science or related field .
• 5 + years of experience in machine learning, including production-scale deployments
• Experience with agile development , and short release cycl es
• Good understanding of statistical modeling, machine learning, or analytics concepts; ability to quickly learn new skills and work in a fast-paced team.
• Proficient in one or more programming languages such as Python and Java.
• Familiarity with cloud development on Azure/AWS.
• Experience using Relational (MySQL, Postgres) and NoSQL datastores (Redis, ElasticSearch , Snowflake) along with data access patterns and strategies
• Experience working with at least one deep learning framework such as TensorFlow or PyTorch .
• Experience with LLMs including prompt/context-engineering, modern LLM APIs, fine-tuning models etc.
• Experience working with both research and product teams.
• Excellent problem-solving and analytic skills
• Excellent communication and relationship building skills.

Responsibilities

• Design and d evelopment of state-of-the-art agentic AI system and platform , delivering high quality, production ready code .
• Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
• Partner with researchers and applied scientists on productization o f innovations
• Engage in the product lifecycle, design, deployment, and production operations.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees