Adobe Content Intelligence helps marketers and creators understand what makes their work perform. Our team builds the models and pipelines that analyze images, video, email, and paid social ads — then connect those signals to campaign results. That work powers insights, recommendations, and agent tools used across Adobe's products today.
We're looking for a Machine Learning Engineer to own ML features from model development through production release. You'll train and improve models yourself — not just integrate models others built — and you'll design the data, training, and inference systems that make creative intelligence work for enterprise customers. If you want to grow as a technical leader while shipping ML that customers rely on, this role is a great fit!
What you'll do
You'll own ML system design for major features — from scoping the problem through training, deployment, monitoring, and iteration. You'll make trade-offs on accuracy, latency, cost, and data quality as you deliver models that ship to production.
- Develop and train models for creative understanding across vision, video, and language
- Build datasets, labels, and features from LLMs, subject-matter experts, and user activity
- Implement training, evaluation, and inference pipelines on Spark, Kubernetes, and GPU/CPU environments
- Profile and improve model and pipeline performance for production workloads
- Define test plans and release criteria for the ML components you own
You'll partner with product managers, research scientists, and engineers to connect your work to customer-facing capabilities — insights, recommendations, featurization, and agent context tools. You'll contribute to design reviews, mentor junior engineers, and help interview candidates for the team.
What you need to succeed
You have a Master's degree and 8+ years of relevant experience, or a PhD and 3+ years — or equivalent depth of impact. You have shipped ML models to production and improved them based on real usage and metrics.
- Strong Python and PyTorch for model development and deployment
- Deep learning experience in at least one of: computer vision, video, NLP, or generative AI (LLM/VLM fine-tuning, embeddings, or RAG)
- Hands-on work across the ML lifecycle: data prep, training, evaluation, inference, and monitoring
- Experience with distributed data processing or cloud platforms (Spark, Kubernetes, GCP, AWS, or Azure)
- Ability to break down complex ML problems and communicate trade-offs to teammates and stakeholders
You take ownership of broad, complex goals and see them through with minimal day-to-day direction. Experience with recommendation systems, multi-modal ML, 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.
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 accommodations@adobe.com or call +1 408-536-3015.
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. See how we think about AI in the hiring experience.