Computer Scientist 2
Core
Build and scale AI infrastructure (model orchestration, inference services, data pipelines) powering Adobe Express's generative AI features for millions of users.
Role type
Senior IC backend/ML infrastructure engineer
Builds
Production AI platform components including model orchestration, inference services, data pipelines, storage, and caching layers for Adobe Express.
Domain
Creative software / Generative AI / Distributed Systems
Deliverable
production ML models | infrastructure
Required skills
distributed systems, backend services, scalable system development, APIs, data pipelines, event-driven systems, cloud engineering, production deployment, debugging, testing, monitoring
Preferred skills
ML systems, LLMs, model inference, orchestration, evaluation, generative AI (LLMs, multimodal, diffusion), MLOps, agentic AI concepts, Kafka, Spark, Flink
Technologies
Kafka, Spark, Flink
Responsibilities
Build core platform components for intelligent experiences; Contribute to data and inference pipelines for ML model lifecycle; Develop backend services and workflows connecting models and data systems; Maintain runtime systems for inference and orchestration; Work on storage and caching patterns; Collaborate with cross-functional teams to ship AI capabilities; Participate in debugging, testing, and operational improvements.
Seniority
Senior, hands-on IC
