remote
Senior Machine Learning Services Engineer - Adobe
ML Engineer
Lead the design and deployment of high‑performance, GPU‑accelerated ML services that power Adobe’s flagship creative tools, turning cutting‑edge research models into reliable production systems for millions of creators.
About the role
Key Responsibilities
- Architect, develop, and maintain scalable cloud services that host and serve large‑scale ML models for Adobe’s creative suite.
- Collaborate with research and product teams to translate state‑of‑the‑art generative AI models into production‑ready APIs.
- Optimize GPU inference pipelines for latency, throughput, and cost efficiency across multi‑tenant environments.
- Implement robust monitoring, logging, and automated testing to ensure high reliability and rapid issue resolution.
- Drive continuous improvement of deployment workflows, leveraging CI/CD and container orchestration.
Requirements
- 5+ years of experience building production ML services at scale.
- Deep expertise in GPU‑accelerated inference frameworks (e.g., TensorRT, ONNX Runtime) and cloud platforms.
- Proficiency in Python and modern deep learning libraries (PyTorch, TensorFlow).
- Strong background in distributed systems, containerization, and CI/CD pipelines.
- Excellent communication skills and a collaborative mindset.
Skills
machine learninggenerative aipythonpytorchtensorflow