Machine Learning Engineer

About the Role

The Pro Design team at Adobe is leading the transformation of the design world by building intelligent, connected tools that empower creators and teams. As a Senior Machine Learning Engineer, you will power the intelligence inside Adobe’s products, including Illustrator, InDesign, and emerging AI-driven experiences. This hands-on role focuses on modeling across classical discriminative, generative, and agentic systems to shape the future of professional design.

Responsibilities

• Partner with Product, Engineering, and Data Science teams to define problems, scope feasibility, and translate research into shipped experiences.
• Design, prototype, and ship models powering product features, including predictive, ranking, generative, and agentic systems (e.g., RAG, embeddings, fine-tuning, and in-product copilots for creative use cases).
• Own evaluation end-to-end: define success metrics, build offline and online evaluation harnesses, and detect quality regressions in production.
• Build data and MLOps foundations to ensure model reliability, including feature pipelines, experiment tracking, versioning, CI/CD, automated retraining, and monitoring.

Requirements

• Bachelor's degree in a quantitative field (CS, ML, Data Science, Engineering, or similar) or equivalent practical experience.
• 5+ years of experience building, deploying, and operating ML systems in production at scale.
• Strong foundation in core ML: feature engineering and shipping supervised/unsupervised models for prediction, ranking, recommendation, or personalization.
• Working depth in modern GenAI: LLMs or generative models in production (RAG, embeddings, fine-tuning, or agent design).
• Fluency in Python and SQL, with experience in broader ML tooling and infrastructure.
• Rigorous approach to offline and online evaluation and experimentation design.
• Ability to frame problems before modeling and communicate technical work clearly to non-technical partners.

Preferred Qualifications

• Master's or PhD in a quantitative discipline.
• Background in consumer product analytics, especially in creative tools, SaaS, or subscription businesses.
• Experience with recommendation systems or personalization for visual or creative content.
• Experience deploying and monitoring models in Databricks (MLflow, Feature Store, model serving) or comparable production ML environments.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity, and personalized customer experiences. Our industry-leading offerings—including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio—enable people and businesses to turn ideas into impact, powered by AI and human ingenuity.

Pay

The U.S. pay range for this position is $133,100 – $236,400 annually, varying by work location, job-related knowledge, skills, and experience. In California, the pay range is $163,200 – $236,400. For sales roles, starting salaries are expressed as total target compensation (base + commission), while non-sales roles are expressed as base salary with short-term incentives through the Annual Incentive Plan (AIP). Certain roles may also be eligible for long-term incentives in the form of a new hire equity award.