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AdobePosted 2 months ago

Sr Machine Learning Services Engineer

$151,800–$265,350 year

On-siteSan Jose, California, United States

Full TimeSenior LevelEnterprise

Job Summary

Senior ML Services Engineer role to design, build, and operate backend cloud services powering ML and Generative AI features across Adobe products. Own end-to-end GPU-accelerated inference pipelines, optimize models for production (quantization, pruning, graph optimization, batching, hardware-aware tuning), lead integration and validation of new ML models, and ensure observability, monitoring, and incident response. Collaborate with Research, Product, and Engineering to productionize capabilities, maintain CI/CD for ML-backed microservices, and participate in on-call production support. Requires substantial experience with ML systems in production, model serving/inference optimization, and hands-on work with computer vision/generative models, plus strong Python, ML framework, and cloud tooling expertise.

Required Qualifications

  • 5+ years of experience building, optimizing, and operating ML systems in production, including GPU-based workloads
  • Strong background in model serving and inference optimization (conversion, compression, orchestration)
  • Hands-on experience with computer vision and/or generative models (GANs, diffusion models, CLIP, or MLLMs)
  • Expertise in building agents for workflow automation and orchestration
  • Proficiency with Python, PyTorch, TensorFlow
  • Experience with NVIDIA Triton, TorchServe, ONNX, AIT, AOT, CUDA
  • Experience with Docker, Kubernetes, AWS
  • Solid understanding of GPU systems, drivers, and deployment considerations in cloud environments
  • Ability to work independently and collaborate across teams

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