Machine Learning Engineer, Express AI Foundations
Adobe is seeking a Machine Learning Engineer for its Express AI Foundations team in San Jose, CA. The role involves developing AI infrastructure and collaborating on production systems for various AI applications.
Machine Learning Engineer, Express AI Foundations
Company: Adobe
Location: San Jose, CA
The Opportunity
Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We’re looking for an engineer to help develop and scale the AI infrastructure behind these experiences. This role is a strong fit for someone with solid software engineering fundamentals, exposure to ML systems, and interest in building reliable large-scale platforms that support modern AI products.
You’ll work with experienced engineers to build production systems that power Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. Your work will contribute to important layers of the platform, including model integration, inference services, data pipelines, storage and caching systems, analytics, and evaluation tooling.
What You’ll Do
- Contribute to the development of core platform components that support AI experiences in Adobe Express.
- Build and improve backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
- Help develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
- Support runtime systems for inference and orchestration with attention to reliability, observability, and performance.
- Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost.
- Collaborate with engineers, researchers, and product teams to deliver production-ready AI capabilities.
- Participate in debugging, testing, monitoring, and operational improvements for AI platform services.
What You'll Bring
- 3+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
- Good understanding of distributed systems fundamentals, backend services, and scalable system design.
- Experience building or supporting APIs, data pipelines, or event-driven systems.
- Proficiency in Python, Java, C++, or Go.
- Familiarity with cloud environments, service deployment, and production engineering practices.
- Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation, is a plus.
- Strong problem-solving skills and the ability to work well in a collaborative team environment.
- Clear communication skills and willingness to learn from cross-functional partners.
Preferred Qualifications
- Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field.
- Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks.
- Exposure to generative AI systems such as LLMs, multimodal models, or diffusion models.
- Familiarity with MLOps concepts such as experiment tracking, model deployment, or evaluation workflows.
- Interest in agentic AI concepts such as tool use, task planning, or memory systems.
Why Adobe
At Adobe, we’re building the future of creativity through intelligent systems. The AI Foundations team combines platform engineering, applied AI, and product impact to bring powerful creative tools to millions of users. This is an opportunity to grow your technical depth while helping build the systems behind the next generation of AI-powered 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 include Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio, enabling 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.