Senior Machine Learning Engineer

Adobe•San Jose, CA

5d•$151,800 - $265,350

About The Position

Adobe is revolutionizing the landscape of digital experiences through agents and generative AI, and we’re seeking a highly accomplished Machine Learning Engineer to join our Search, Discovery & Content AI (SDC) team. This is a pivotal role within a high impact organization, driving innovation across Adobe’s Creative Cloud, Document Cloud, and Adobe Express platforms. The SDC team is dedicated to empowering customers – from creative professionals to everyday users – with intelligent tools to create, manage, and discover digital content. We are building the next-generation platform stack to support the immense scale and breadth of Adobe’s needs in content understanding, processing, and discovery, powering generative AI agents and the world’s leading creative tools. You will be responsible for designing, developing, and deploying large-scale machine learning systems that directly impact millions of users and billions of content pieces. You will work in a start-up like environment with the opportunity to push the boundaries of what’s possible in generative AI, language models, and assistive experiences, all within the supportive infrastructure and resources of Adobe.

Requirements

PhD or master’s degree in computer engineering, Computer Science, Computer Vision, Robotics, or a related field, or equivalent experience.
Deep understanding of generative AI, deep learning, computer vision, and recommendation systems, with a proven track record of applying these methods to solve complex problems.
Proficiency with machine learning frameworks and tools such as Scikit-learn, Hugging Face, PyTorch, and PyTorch Lightning.
Expertise with cloud technologies, Docker, and containerization.
Experience with AWS, Microsoft Azure, or equivalent cloud platforms.
Proficiency in one or more programming languages, including Python, C++, Java, and Rust.

Nice To Haves

Exceptional analytical and quantitative problem-solving skills.
Excellent communication, interpersonal, and relationship-building skills.
Demonstrated ability to thrive in a collaborative team environment.

Responsibilities

Define and develop end-to-end machine learning systems using innovative architectures
Develop and implement scalable, GPU-optimized modeling algorithms capable of handling large-scale data in production environments.
Build and maintain high-performance, scalable, and maintainable platform features throughout the complete ML pipeline.
Partner with architects, product management, and engineering teams to translate product requirements into innovative technical solutions
Design and develop runtimes and libraries for emerging ML technologies, ensuring we remain at the forefront of the field.
Contribute to the creation of detailed requirements and design documents for features across the technology stack.