The Opportunity
Adobe Express empowers people and teams to build standout content with ease, and the AI Foundations team is what makes that possible at scale. We develop the core AI platform that fuels creativity across design, imaging, motion, and personalization, serving millions of users worldwide.
We are hiring a Computer Scientist 2 to contribute to the development and scaling of AI infrastructure powering these experiences. This position fits well for candidates with strong software engineering foundations, experience with ML systems, and a sincere interest in building stable, high-performance platforms for current AI products.
You'll work alongside experienced engineers to build production systems that bring Agentic AI, Compose AI, Imaging AI, Motion AI, and Personalization AI to life spanning model orchestration, inference services, data pipelines, storage and caching layers, session analytics, and continuous evaluation frameworks.
What You'll Do
- Build and improve core platform components that power intelligent experiences across Adobe Express.
- Contribute to data and inference pipelines supporting training, evaluation, fine-tuning, and deployment of ML models.
- Develop backend services, microservices, and workflows that connect models, APIs, data systems, and product surfaces.
- Help maintain and improve runtime systems for inference and orchestration, with a focus on reliability, observability, and performance.
- Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost-effectiveness.
- Collaborate closely with engineers, researchers, and product teams to ship production-ready AI capabilities.
- Participate in debugging, testing, monitoring, and operational improvements across AI platform services.
What You'll Need to Succeed
- 8 - 12 years of experience in software engineering, backend infrastructure, data systems, or ML infrastructure.
- Solid understanding of distributed systems, backend services, and scalable system development.
- Hands-on experience building or supporting APIs, data pipelines, or event-driven systems.
- Comfort working in cloud environments with production engineering and service deployment practices.
- Experience with ML systems or applications based on LLMs, model inference, orchestration, or evaluation is highly advantageous.
- Strong problem-solving instincts and a collaborative approach.
- Clear communication skills and an eagerness to learn from cross-functional partners.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related technical field, or equivalent experience.
- Exposure to generative AI systems - LLMs, multimodal models, or diffusion models.
- Familiarity with MLOps practices: experiment tracking, model deployment, or evaluation workflows.
- Curiosity about agentic AI concepts such as tool use, task planning, or memory systems.
- Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks.
Why Adobe
At Adobe, we're advancing the future of creativity with intelligent systems. The AI Foundations team functions at the crossroads of platform engineering, applied AI, and meaningful product outcomes, providing powerful creative tools to millions of users every day. This environment allows you to refine your technical expertise, engage with complex challenges, and contribute to the infrastructure supporting the next generation of AI-enhanced creative experiences.
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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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.