Machine Learning Engineer, Express AI Foundations

Adobe•San Jose, CA

About The Position

The AI Foundations team at Adobe Express builds the core AI platform that powers creativity across design, imaging, motion, and personalization. This role involves developing and scaling the AI infrastructure behind these experiences. The ideal candidate will have solid software engineering fundamentals, exposure to ML systems, and an interest in building reliable large-scale platforms for modern AI products. The engineer will work with experienced professionals to build production systems for Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. Responsibilities include contributing to important platform layers such as model integration, inference services, data pipelines, storage and caching systems, analytics, and evaluation tooling.

Requirements

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.
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.

Nice To Haves

Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation, is a plus.
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.

Responsibilities

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.