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Marketo, an Adobe Company

Machine Learning Engineer 5

Marketo, an Adobe Company, San Francisco, California, United States, 94199


Our Company

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

We're looking for a Machine Learning Engineer who will be responsible for inventing and delivering functionality for the Adobe Express ecosystem that radically simplifies the creative process for our users. Design has been at Adobe's core since it was founded almost 40 years ago. Today, with Adobe Express, we are enabling millions of users to quickly produce compelling, digital content, at scale, with powerful, easy-to-use tools and built-in design intelligence. In this role you'll be at the innovative center of our mission to enable creativity for all.What you'll do

Conduct innovative research and development at the intersection of Generative AI and Design.Design, architect and build data insight tools and models for improving design iteration & output with AI.Ability to convert a research idea/paper to code in Python and typical machine learning development toolkits.Work directly with Design and Product Management to iterate on and refine algorithms that power automatic design generation.Coordinate with cross-functional teams to conduct evaluation studies with multiple iterations of algorithmic and generative intelligence models.Maintain and troubleshoot the production environment.Perform code reviews, code hygiene, bug triages and provide feedback on features, technology, architecture, designs.Write automation scripts for testing and for classifying training data for training generative models.Analyze and improve the efficiency and scalability of web applications.Embrace and extend modern development practices, testing methodologies, and tooling to ensure quality and performance in all phases of development.What you'll need to succeed

Excitement toward building the future of design assistance tools.Experience with LLM technologies.Experience with machine learning (ML) frameworks such as Scikit Learn, TensorFlow, Pytorch.Excellent communication and collaboration skills with teams distributed across the globe.A positive attitude toward resolving cross-team challenges and adapting to shifting priorities in a fast-paced dynamic environment.Ability to work independently and take initiative.Enthusiasm for R&D / prototyping and technical discussion.

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