Senior Machine Learning Engineer, Services/MLOps
Core
Build and operate scalable, enterprise-grade ML pipelines and services for Adobe's Firefly Foundry generative AI platform, handling heterogeneous models (LLMs, diffusion, 3D) to serve media and creative workflows.
Role type
Senior Machine Learning Engineer (MLOps/Inference)
Builds
Production ML services, data pipelines for self-serve fine-tuning, and media intelligence VLM deployments for Adobe customers.
Domain
Generative AI, Media & Entertainment, Enterprise Cloud Services
Deliverable
production ML models
Required skills
Python, PyTorch, multi-model pipeline orchestration, Kubernetes, AWS/Azure, GPU inference optimization, CI/CD for ML, multi-tenant system design, automated evaluation and drift monitoring
Preferred skills
CUDA programming, quantization techniques, media processing pipelines
Technologies
PyTorch, Docker, Kubernetes, AWS, Azure, CUDA
Responsibilities
Own the full serving lifecycle including packaging, versioned rollout, canary/rollback, and autoscaling; Deploy pipelines as services meeting latency and throughput budgets; Engineer multi-tenant systems with data isolation for customer IP; Build platform infrastructure for rapid pipeline deployment and observability; Define quality gates with automated eval and regression detection; Manage GPU capacity and cost efficiency; Run production operations including on-call and incident response
Seniority
Senior, hands-on IC
