Machine Learning Engineer, Generative AI Adobe $120.7k - $228.6k/year - San Jose, CA Interested[...]

Position Overview

Join Adobe as a Machine Learning Engineer, Generative AI where you'll play a pivotal role in developing and optimizing innovative machine learning solutions. In this role, you will work on the groundbreaking Firefly generative AI models that power a multitude of Adobe products, impacting millions of users and transforming creative workflows.

Key Responsibilities

• Develop and optimize machine learning solutions with cutting-edge architectures across Adobe's products.
• Enhance Firefly's inferencing pipeline to power generative AI features on platforms such as Firefly Web, Photoshop, Illustrator, Express, and Stock.
• Design GPU-optimized, efficient model pipelines for diverse modalities including images, vectors, and 3D assets.
• Ensure scalability and reliability of cloud services by incorporating observability, logging, and tracing for rapid issue detection.
• Develop key business logic for Firefly services, including usage metering, entitlement checks, quota management, and upsell workflows.

Required Qualifications

• PhD or Master's in Computer Science, Computer Engineering, Computer Vision, Robotics, or a related field—or equivalent experience.
• 3+ years of hands-on experience developing production-grade machine learning models using PyTorch and Python.
• Proven expertise in GPU-intensive ML workloads, including optimization, scaling, and deployment in production environments.
• Strong knowledge of model serving and orchestration, including GPU resource management for scalable ML systems.
• Deep understanding of Visual Foundation Models (e.g., Transformers, Diffusion) and Multimodal Language Models (e.g., Text-to-Image, Image-to-Text, Text-to-Video), including evaluation methodologies and productization challenges.
• Excellent problem-solving skills with a data-driven approach to analyzing complex issues and driving solutions.
• Strong collaboration and communication skills with proven experience in cross-functional teams.

Benefits & Perks

• Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, with variation based on location, job-related knowledge, skills, and experience.
• Salary Range: The U.S. pay range for this role is $120,700 - $228,600 annually.
• Your recruiter can share more about the specific salary range for your job location during the hiring process.