ML Platform Engineer: AI Infra & Scale

Adobe Inc.; San Jose (CA); On-site; USD 161,700 - 234,150; Full time

Job summary

Adobe Express is seeking an engineer to help develop and scale the AI infrastructure behind AI experiences. You’ll work on core platform components, backend services, data pipelines, and ML inference systems to support Agentic AI, Create AI, and Personalization AI.

You will join a collaborative team focused on reliability, performance, and cost-aware design, contributing to storage, caching, and orchestration as part of a production-grade AI platform at scale.

Qualifications

• Experience in software engineering, backend infrastructure, data systems, or ML infrastructure.
• Strong understanding of distributed systems and scalable design.
• Experience building or supporting APIs, data pipelines, or event-driven systems.
• Proficiency in Python, Java, C++, or Go.
• Familiarity with cloud environments and production engineering practices.
• Exposure to ML systems or LLM-based applications is a plus.
• Strong problem-solving and collaborative teamwork skills.
• Clear communication and willingness to learn from cross-functional partners.

Responsibilities

• Contribute to the development of core platform components that support AI experiences.
• Build backend services, microservices, and workflows connecting 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 emphasis on reliability and performance.
• Work on storage, caching, and data-access patterns to improve efficiency 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.

Skills

3+ years experience

Distributed systems fundamentals

API/data pipelines

Python

Cloud environments

ML systems exposure

Collaborative teamwork

Communication skills

Education

Bachelor's degree

Tools

Kafka

Spark

Flink

Docker

Job description

Adobe Express is seeking an engineer to help develop and scale the AI infrastructure behind AI experiences. You’ll work on core platform components, backend services, data pipelines, and ML inference systems to support Agentic AI, Create AI, and Personalization AI.

You will join a collaborative team focused on reliability, performance, and cost-aware design, contributing to storage, caching, and orchestration as part of a production-grade AI platform at scale.