Senior AI Platform Engineer - Scalable ML Infrastructure

Adobe; San Francisco (CA); On-site; USD 183,000 - 265,000; Full time

Job summary

Adobe Express is seeking an engineer to help develop and scale the AI infrastructure behind Adobe's AI-powered experiences. You will work on core platform components and backend services that connect models, APIs, and data systems to enable production-grade AI features.

The role emphasizes building scalable data and inference pipelines, improving reliability and performance, and collaborating with researchers and product teams to deliver AI capabilities across Imaging, Motion, and

Qualifications

• 5+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure.
• Strong understanding of distributed systems fundamentals and scalable design.
• Experience with imaging models and APIs, data pipelines, or event-driven systems.
• Proficiency in Python, Typescript, C++, or Go.

Responsibilities

• Develop core platform components supporting AI experiences.
• Build 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 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

Skills

Software engineering

Backend infrastructure

ML infrastructure

Distributed systems

APIs & data pipelines

Programming languages

Education

Bachelor’s degree in CS/ML/DS

Tools

Kafka

Spark

Flink

Job description

Adobe Express is seeking an engineer to help develop and scale the AI infrastructure behind Adobe's AI-powered experiences. You will work on core platform components and backend services that connect models, APIs, and data systems to enable production-grade AI features.

The role emphasizes building scalable data and inference pipelines, improving reliability and performance, and collaborating with researchers and product teams to deliver AI capabilities across Imaging, Motion, and