University - machine learning engineer

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 OpportunityAdobe Firefly is redefining creativity by bringing the power of generative AI to millions of users worldwide. The Evaluation Systems team builds the ML foundation that ensures Firefly's creations are safe, high-quality, and aligned with evolving human needs .We are seeking a Machine Learning Engineer with a passion for vision and multimodal understanding to help us advance the frontier of evaluating generative content. You will design, train, and deploy models that assess the quality, aesthetics, and safety of images and videos generated by foundation models. Your work will directly shape how creators engage with AI responsibly and at scale.This is an opportunity to work at the intersection of state-of-the-art research, large-scale data, and production systems , in a team that values human-in-the-loop learning and model alignment as core principles. What You'll Do - Model Development: Build and fine-tune models (e.g., ViTs, VLMs, multimodal encoders) to evaluate generative content across quality, safety, and user alignment dimensions.- Human-in-the-Loop Training: Leverage large-scale, noisy human feedback data to train robust evaluation and reward models.- Production Deployment: Ship models as real-time services that gate content and provide quality guardrails, continuously monitoring and improving their performance.- Collaboration: Partner with product, research, and engineering teams to integrate evaluation signals into Firefly products and new creative experiences.- Exploration: Stay on top of the latest ML research (e.g., diffusion models, alignment methods, multimodal evaluation) and translate advances into practical solutions.What You Need to Succeed- MS or PhD in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required- Strong understanding of machine learning and deep learning concepts, especially in vision and multimodal domains. Experience with model training, finetuning, and evaluation.- Proficiency in Python and familiarity with frameworks like PyTorch. Familiarity with large-scale data pipelines and distributed training is a plus.- Ability to translate research concepts into scalable, production-ready systems. Prior exposure to vision-language models or human feedback training is a plus.- Strong analytical and quantitative problem-solving ability.- Excellent communication, relationship skills and a strong team player.Adobe is proud to be anEqual Employment Opportunityand affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.Learn more.Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, [email protected] call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.Our c