Machine Learning Engineer 4
ADUS-AdobeOur Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
Adobe is looking for an ML Services Engineer to bring new and exciting AI/GenAI based capabilities to its flagship products. As part of the Applied research organization, you will partner with Adobe Research and business units to deliver innovative ML/GenAI powered cloud services in order to light up exciting new product capabilities. You will join a team of dedicated engineers in growing the cloud offerings behind some of Adobe’s most successful and innovative creative products.
What you’ll do
Contribute to the backend services that power ML and Generative-AI features across multiple Adobe products like Photoshop, Lightroom, Illustrator, Express, Stock and other applications/surfaces for Enterprise customers
Design and architect GPU optimized ML pipelines for running models in the cloud
Analyze and improve efficiency, accuracy, scalability, and stability of AI enabled workflows
Design and implement model integration testing, and regression testing for model evaluation with refinements
Build and maintain CI/CD pipeline for a suite of microservices
Collaborate with product management, user experience and engineering groups to develop new products and features.
Ensure a scalable, reliable cloud service with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues
Provide production level support for customers
What you need to succeed
At least 5+ years of demonstrated ability; A Consistent track record building, optimizing and operating GPU intensive ML workloads in production environments
Experience architecting cloud services and infrastructure for large scale use, reliability and performance
Experience with Computer Vision models and GenAI technology including GAN, CLIP, Diffusion, MLLM, etc.
Technology Skills: Python, ML, PyTorch, TorchServe, TensorFlow, NVIDIA Triton, ONNX, AIT, AOT, CUDA, GPU drivers, Kubernetes, AWS
Deep understanding of model serving, conversion, optimization, compression and orchestration techniques.
Proficient in various cloud technologies like AWS, Kubernetes, Docker
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
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