Machine Learning Engineer

The world of design is changing rapidly, and the Pro Design team is leading that transformation. We are the Adobe organization behind Illustrator, InDesign, and emerging experiences that connect creativity, collaboration, and AI. Our teams are reimagining what professional design looks like for the next decade - building intelligent, connected tools that empower creators and teams to move faster without sacrificing craft. We are looking for a Senior Machine Learning Engineer to power the intelligence inside our products. This is a hands-on modeling role for someone proficient in the full stack: classical discriminative to interpret, generative to produce, and agentic to act. Join us and build Adobe’s future products!

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, from predictive and ranking to generative and agentic systems, including RAG, embeddings, fine-tuning, and in-product copilots for creative use cases. Own evaluation end to end: define what "good" means, build offline and online evaluation harnesses, and detect quality regressions in production. Build the data and MLOps foundations that keep models reliable: feature pipelines, experiment tracking, versioning, CI/CD, automated retraining, and monitoring. What you need to succeed Minimum Requirements: Bachelor's in a quantitative field (CS, ML, Data Science, Engineering, or similar) or equivalent practical experience. 5+ years building, deploying, and operating ML systems in production at scale. Strong core ML foundation: feature engineering and shipping supervised/unsupervised models for prediction, ranking, recommendation, or personalization. Working depth in modern GenAI on top of that: LLMs or generative models in production (RAG, embeddings, fine-tuning, or agent design). Fluency in Python and SQL, and broader ML tooling and infrastructure ecosystem. Rigorous offline and online evaluation and experimentation design and operation. Ability to frame problems before modeling, and to communicate technical work clearly to non-technical Product and Design partners.

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 especially for visual or creative content. Experience deploying and monitoring models in Databricks (MLflow, Feature Store, model serving) or a comparable production ML environment. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s 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 driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.  Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on