Machine Learning Engineer

Adobe Content Intelligence assists marketers and creators in grasping what drives the success of their work. Our group develops the models and pipelines that process images, video, email, and paid social ads - then link those signals to campaign outcomes. This effort fuels insights, suggestions, and agent tools employed throughout Adobe's products today.

We're looking for a Machine Learning Engineer to compose and build the models and pipelines behind creative understanding - vision, video, and language. You'll train and improve models yourself, own delivery of significant pieces of the system end to end, and work across teams to get them into production. If you like turning hard ML problems into production systems that real customers use, we'd love to meet you!

What you'll do:

You'll take a well-defined but genuinely hard ML problem-a modality, a pipeline stage, or a modeling approach-and own it from building through training, deployment, and iteration. You will exercise independent judgment on the methods and techniques you use to reach the goal.

• Build and train models for creative understanding across vision, video, and language

• Build labels and features from LLMs, subject-matter experts, and user activity data

• Deliver pipelines for ingestion, featurization, training, versioning, and inference at scale

• Validate models with offline benchmarks and online A/B tests before release

• Operate production ML on Spark, Kubernetes, and GPU/CPU environments

You'll collaborate with product managers, research scientists, and engineers at Adobe. Your ML work will link to customer value, such as performance insights, brand-aware recommendations, and agent workflow context. You'll develop relationships across teams, including those outside your immediate group. As your role expands, you'll mentor junior engineers.

What you need to succeed

You have a Master's degree and 5+ years of relevant experience, or a PhD and 2+ years - or equivalent depth of impact. You have shipped ML models to production and can point to results that made a difference for a product or business.

• Strong Python and PyTorch for model development and deployment

• Experience in deep learning involving vision, video, NLP, or generative AI (LLM/VLM fine-tuning, embeddings, or RAG)

• End-to-end ML systems: feature engineering, training pipelines, inference, and production monitoring

• Distributed data processing and cloud platforms (Spark, Kubernetes, GCP, AWS, or Azure)

• Clear communication with cross-functional partners on ML trade-offs and technical direction

You're comfortable taking a significant, well-scoped problem and running with it independently, with light day-to-day direction. Experience with recommendation systems or marketing and creative content platforms is a plus.

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.

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