Sr Machine Learning Engineer
AI summary of the role
Senior individual contributor role on the ML cloud services team at Adobe, responsible for productionizing AI and Generative AI features across flagship creative products like Photoshop and Illustrator.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, build, and operate backend cloud services powering ML and Generative AI features across multiple Adobe products
- Architect and optimize GPU-accelerated ML inference pipelines for scalability, cost efficiency, and reliability
- Optimize ML models for production inference using quantization, pruning, graph optimization, batching, and hardware-aware tuning
- Lead integration of new ML models into production, including model validation, regression testing, and quality evaluation
What you’ll bring
- 5+ years 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 (conversion, compression, orchestration)
- Hands-on experience with computer vision and/or generative models (GANs, diffusion models, CLIP, MLLMs)
Technologies
PyTorch · TensorFlow · NVIDIA Triton · TorchServe · ONNX · CUDA · Docker · Kubernetes · AWS · GANs · diffusion models · CLIP
About Adobe
Builds creative, document, and enterprise customer-experience software, now embedding Firefly AI and agents across creator and marketer workflows.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
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 sy [... source excerpt omitted ...] , 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 b [... source excerpt omitted ...] ollaborating 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
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