Principal Machine Learning Engineer
Core
Technical lead for Adobe's enterprise managed-service offering for custom multimedia generative AI, architecting and optimizing inference systems for image, video, and 3D models.
Role type
Principal Machine Learning Engineer (Inference & Architecture)
Builds
Enterprise-scale GenAI services, APIs, and plugin ecosystems integrating first-party and third-party models into Adobe products.
Domain
Generative AI, Multimedia, Enterprise Software
Deliverable
production ML models | product features | infrastructure
Required skills
Generative model architecture (diffusion, transformers, LLMs), GPU-accelerated inference optimization, Multi-tenant system design, API and plugin ecosystem architecture, Cross-functional technical leadership, MLOps, Quantization and model optimization
Preferred skills
Kubernetes, Distributed systems, RAG architectures, Agentic conversational systems
Technologies
PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, Python
Responsibilities
Architect ML serving workflows for enterprise-scale model customization and deployment, Co-develop and optimize GPU-accelerated inference pipelines, Design product backend and plugin architectures, Provide hands-on technical leadership and mentorship, Research emerging inference and MLOps technologies, Drive cross-functional alignment on roadmap delivery
Seniority
Principal, hands-on IC with strategic scope
