Staff Machine Learning Engineer

Adobe • Seattle, WA

8d

About The Position

Adobe Photoshop is seeking a Staff Machine Learning Services Engineer to serve as the technical lead for our Generative AI Services domain. In this high-impact role, you will lead engineering efforts collaborating closely with Research and product teams to deliver scalable, high-performance GenAI systems powering flagship features in Photoshop, Lightroom, Firefly, and our GenAI Enterprise offerings. You will design and implement APIs and services that integrate Adobe’s proprietary models and third-party models. As a hands-on technical leader, you’ll define the architectural direction, uphold high engineering standards, mentor peers, and drive the productization of a rapidly growing GenAI portfolio. You’ll be joining a committed, multi-skilled team working on the foundation for some of Adobe’s most groundbreaking creative tools.

Requirements

• MS or PhD in Computer Science or a related field, or equivalent experience in the industry.
• 8+ years' experience architecting cloud services and infrastructure for large scale use, reliability and performance
• 3+ years of experience with GenAI workloads—including fine-tuning and inference at scale
• Strong foundation in Transformer architecture, Diffusion models, CLIP, VAE, Encoder/Decoders
• Deep understanding of model serving, orchestration, and GPU resource management in distributed environments
• Knowledge of model optimization techniques (quantization, pruning, distillation, etc.)
• Expert-level coding and debugging skills in Python; familiarity with JavaScript/TypeScript is a plus
• Hands-on experience with Kubernetes, Docker, and ML-Ops platforms (e.g., MLflow, KServe, Triton)
• Familiarity with CUDA, Torch AOTinductor, and frameworks such as PyTorch, TensorFlow, or ONNX Runtime
• Proven track record of leading complex, high-stakes technical initiatives across teams
• Strong problem-solving skills and a mentality for developing well-tested, production-quality software
• Excellent communication and multi-functional collaboration skills

Responsibilities

• Design, build, and maintain scalable, production-grade GenAI services in the cloud
• Lead architectural design and guide the development of optimized ML pipelines for cloud-based inference and integration
• Drive the bridge between research and product teams throughout the lifecycle—from prototyping to deployment
• Optimize model performance, GPU utilization, and service orchestration at scale
• Work collaboratively with PMs, TPMs, and engineering leads to build and implement the GenAI roadmap
• Define technical direction, conduct building reviews, and establish guidelines for reliability, scalability, and maintainability
• Own and improve CI/CD systems and monitoring pipelines for ML services
• Mentor engineers across ML and backend fields, encouraging a culture of technical excellence
• Provide tier-1 production support, ensuring service SLAs and customer satisfaction

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees