Machine Learning Engineer, Express AI Foundations

Job Description

• Build and scale production AI infrastructure for Adobe Express, including model integration, inference services, data pipelines, storage, caching, analytics, and evaluation tooling.
• Develop backend services, microservices, APIs, and workflows connecting models, data systems, and product features.
• Create data and inference pipelines supporting ML model training, evaluation, fine-tuning, and deployment.
• Support reliable, observable, performant inference and orchestration runtimes, including debugging, testing, monitoring, and operational improvements.
• Requires 3+ years of software engineering, backend infrastructure, data systems, ML infrastructure, or related experience; proficiency in Python, Java, C++, or Go.
• Preferred: Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field; experience with Kafka, Spark, Flink, MLOps, generative AI, or agentic AI.