Applied ML Research Engineer

Adobe • San Jose, CA

70d • $120,700 - $228,600

About The Position

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 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.

Requirements

• B.S. or higher in Computer Science, Engineering, Mathematics or a related field
• 2+ years of hands-on experience building and deploying ML models in production
• Demonstrated expertise in training, finetuning, optimizing LLMs / 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

Responsibilities

• Research, train, and deploy SOTA ML models for enterprise use-cases
• Leverage LLMs to analyze complex data and build advanced knowledge-extraction and insight-generation systems
• Explore and iterate on emerging LLM 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

Benefits

• Competitive salary range of $120,700 -- $228,600 annually
• Short-term incentives in the form of the Annual Incentive Plan (AIP)
• Potential eligibility for long-term incentives in the form of a new hire equity award

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree