Lead Applied ML Research Engineer

Lead Applied ML Research Engineer

Our company is changing the world through digital experiences. 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 are the market leader in software products and services for the creative & marketing ecosystem with Creative Cloud, Document Cloud, Express, Firefly and Experience Cloud.

Adobe has made industry-leading progress in addressing the enterprise need for new, scalable ways to create ideas and assets with GenAI-infused workflows and products. Adobe Digital Media's recent launch of GenAI-powered products for enterprises includes Firefly Services (APIs), Firefly Custom Models, Object Composites, Style Kits and unique AI features within flagship products like Adobe Photoshop, Express and Adobe GenStudio.

We are looking for an outstanding Lead Applied ML Research Engineer to research, design, develop and deliver high-profile products that span GenAI features and customization of GenAI Firefly models to empower the next generation of enterprise creators and marketers everywhere by turning creative intent into creative success. As an Applied Research Engineer, you will be the bridge between SOTA research, industry, and real-world applications shaping the future of our core Intelligence Layer powering these GenAI features for enterprises around the world.

You will be joining a highly collaborative engineering team working closely with internal product teams and strategic partners. You should be able to drive and solve complex AI problems, have a deep empathy for customers, and deliver tangible results in a team-oriented culture.

What You'll Do

· Research, train, and deploy state-of-the-art ML models for enterprise use-cases

· Leverage large language models to analyze complex data and build advanced knowledge-extraction and insight-generation systems

· Explore and iterate on emerging large language model techniques to advance the frontier of context engineering

· Build and optimize agentic AI workflows that enable users to dynamically interact and refine outputs from ML systems

· Develop scalable frameworks to evaluate the accuracy, robustness and usability of complex AI agents

· Partner closely with product, UX, business development and strategic partners to translate AI innovations into enterprise-grade production features

· Collaborate with AI Research team to constantly explore and evaluate emerging AI technologies and transform research ideas into interactive prototypes

What You Need To Succeed

· B.S. or higher in Computer Science, Engineering, Mathematics or a related field

· 8+ years of hands-on experience building and deploying ML models in production

· Demonstrated expertise in training, finetuning, optimizing large language models / large-scale models

· Proficiency in Python and deep knowledge of leading ML frameworks and libraries

· Strong passion for AI-driven innovation and a track record of delivering impactful, production-grade AI solutions

· Excellent analytical and problem-solving skills with the ability to thrive in a fast-paced, collaborative environment