Staff Machine Learning Engineer

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.What you'll doDesign, build, and maintain scalable, production-grade GenAI services in the cloudLead architectural design and guide the development of optimized ML pipelines for cloud-based inference and integrationDrive the bridge between research and product teams throughout the lifecycle-from prototyping to deploymentOptimize model performance, GPU utilization, and service orchestration at scaleWork collaboratively with PMs, TPMs, and engineering leads to build and implement the GenAI roadmapDefine technical direction, conduct building reviews, and establish guidelines for reliability, scalability, and maintainabilityOwn and improve CI/CD systems and monitoring pipelines for ML servicesMentor engineers across ML and backend fields, encouraging a culture of technical excellenceProvide tier-1 production support, ensuring service SLAs and customer satisfactionWhat you need to succeedMS 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 performance3+ years of experience with GenAI workloads-including fine-tuning and inference at scaleStrong foundation in Transformer architecture, Diffusion models, CLIP, VAE, Encoder/DecodersDeep understanding of model serving, orchestration, and GPU resource management in distributed environmentsKnowledge of model optimization techniques (quantization, pruning, distillation, etc.)Expert-level coding and debugging skills in Python; familiarity with JavaScript/TypeScript is a plusHands-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 RuntimeProven track record of leading complex, high-stakes technical initiatives across teamsStrong problem-solving skills and a mentality for developing well-tested, production-quality softwareExcellent communication and multi-functional collaboration skillsAbout AdobeAdobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.Let's Adobe togetherAt Adobe, we believe in creating a company culture where all employees are emp

Created: 2026-04-04