Sr Machine Learning Engineer

Adobe is looking for a Senior Machine Learning Services Engineer to help bring new AI and Generative AI capabilities into production across Adobe’s flagship creative products. In this role, you will work at the intersection of applied ML, large-scale cloud services, and GPU-optimized inference, partnering closely with Adobe Research and product engineering teams to translate cutting-edge models into reliable, high-performance production services. You will join a team responsible for the ML cloud services that power features used daily by millions of creators across products like Photoshop, Lightroom, Illustrator, Express, Stock, and enterprise surfaces. This is a hands-on senior IC role with meaningful technical ownership and direct impact on customer-facing AI experiences. What you’ll do Design, build, and operate backend cloud services that power ML and Generative AI features across multiple Adobe products Architect and optimize GPU-accelerated ML inference pipelines for scalability, cost efficiency, and reliability in production Optimize ML models for production inference, including techniques such as quantization, pruning, graph optimization, batching, and hardware-aware tuning to improve latency, throughput, and cost Analyze and improve performance, quality, stability, and throughput of end-to-end AI workflows Lead the integration of new ML models into production systems, including model validation, regression testing, and quality evaluation Build and maintain CI/CD pipelines supporting a suite of ML-backed microservices Collaborate closely with Research, Product, and Engineering partners to productionize new ML capabilities Ensure services meet production standards for observability, monitoring, logging, and incident response Participate in on-call and production support, contributing to a culture of operational excellence What you need to succeed 5+ years of experience building, optimizing, and operating ML systems in production, including GPU-based workloads Proven experience designing large-scale, reliable cloud services with strong performance and availability requirements Strong background in model serving and inference optimization, including techniques for conversion, compression, and orchestration Hands-on experience with computer vision and/or generative models, such as GANs, diffusion models, CLIP, or MLLMs Proficiency with core technologies such as: Python, PyTorch, TensorFlow NVIDIA Triton, TorchServe, ONNX, AIT, AOT, CUDA Docker, Kubernetes, AWS Solid understanding of GPU systems, drivers, and deployment considerations in cloud environments Ability to work independently on complex systems while collaborating effectively across teams About Adobe Adobe 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 together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based ... (truncated, view full listing at source)