Adobe
2026 University Graduate - Machine Learning Engineer
Adobe, San Jose, California, United States, 95199
Overview
Adobe 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.
About Adobe Adobe is proud to be an Equal Employment Opportunity and 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 protected characteristics by law. We are committed to equal opportunity in hiring and accommodations for applicants with disabilities. Learn more at Adobe.
Adobe is committed to accessibility. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
Compensation and Notices The U.S. pay range for this position is $120,700 – $228,600 annually. Pay within this range varies by work location and may depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
State-Specific Notices: California Fair Chance Ordinances; Colorado Application Window Notice; Massachusetts Legal Notice. Adobe complies with applicable laws and regulations in all locations.
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Adobe 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.
About Adobe Adobe is proud to be an Equal Employment Opportunity and 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 protected characteristics by law. We are committed to equal opportunity in hiring and accommodations for applicants with disabilities. Learn more at Adobe.
Adobe is committed to accessibility. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
Compensation and Notices The U.S. pay range for this position is $120,700 – $228,600 annually. Pay within this range varies by work location and may depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
State-Specific Notices: California Fair Chance Ordinances; Colorado Application Window Notice; Massachusetts Legal Notice. Adobe complies with applicable laws and regulations in all locations.
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