Machine Learning Engineer 4

Das ist der Job

Erfahren Sie unten mehr über die allgemeinen Aufgaben, die mit dieser Stelle verbunden sind, sowie über die erforderlichen Fähigkeiten.

Darum lohnt es sich

Our team builds the models and pipelines that analyze images, video, email, and paid social ads — then connect those signals to campaign results.

What you need to succeed Strong Python and PyTorch for model development and deployment Deep learning experience across 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 senior leaders on ML trade‑offs and technical direction You’re comfortable owning ambiguous, multi‑team problems with little day‑to‑day direction.

Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, 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 Content Intelligence helps marketers and creators understand what makes their work perform. That work powers insights, recommendations, and agent tools used across Adobe’s products today. We’re looking for a senior Machine Learning Engineer to own how those systems are designed, built, and shipped.

You’ll train and improve models yourself — not just plug in models someone else built — and you’ll shape the architecture for multi-modal creative intelligence at enterprise scale. If you like turning hard ML problems into production systems that real customers use, we’d love to meet you!

What you’ll do Design 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 work with product managers, research scientists, and engineers across Adobe to connect ML work to customer value — from performance insights to brand‑aware recommendations and context for agent workflows.

You’ll mentor other engineers, lead design reviews, and share what you learn through docs, talks, and technical interviews. 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 Acrobat, Express, Firefly, Creative Cloud, Experience Platform, Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Equal Employment Opportunity Adobe is proud to be an Equal Employment Opportunity 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 characteristic. Learn more. Adobe aims to make our Careers website and recruiting process 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 or call AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking.

The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. xayajpt See how we think about AI in the hiring experience.