Sr ML Services Engineer

Adobe•San Jose, CA

About The Position

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 Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualize, build, and scale content! It’s a natural extension of the technology Adobe has produced over the past 40 years. At the core of Firefly are our commercially safe generative AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for the Adobe's Inference Platform, where our engineers design, build, and operate the foundational infrastructure that powers serving Firefly models.

Requirements

Bachelor's degree, Master’s degree, or equivalent experience in Computer Science, Engineering, Mathematics, etc. or equivalent practical experience
Own problems end-to-end, and be willing to pick up whatever knowledge you're missing to get the job done to ensure both your team and our customers succeed
Firm computer science fundamentals, including design patterns, algorithms, asymptotic complexity, parallelism, and database schema design
Previous experience building, optimizing and operating GPU intensive machine learning workloads in production environments with strong hands-on experience with large-scale GenAI model inference
Exceptional understanding of model serving, orchestration, scaling, GPU resource management
Highly proficient using programming languages such as Go/Python/Rust, Linux environments, k8s, and AWS
Well established distributed computing principles, proven experience building high scale high performance cloud platforms and services
Extensive experience with CI/CD and an in-depth knowledge of containerization and modern deployment strategies & monitoring tools.
Works well in a small, collaborative, highly productive team environment across multiple geographies
Excellent verbal and written communication skills

Nice To Haves

Experience with GPU-based ML inference services

Responsibilities

Design, develop, and maintain robust AI/ML infrastructure solutions to support the inference and deployment of large-scale AI models using Kubernetes and Python on popular services such as AWS cloud
Optimization of services to address high performance, latency, and throughput (load) requirements
Understanding sophisticated service requirements and technical constraints of various platforms while implementing solutions to vastly simplify the software stack, accelerating the inference ML models
Experience in building platform features to generalize across multiple customer applications
Collaborate closely with client or customer application teams to build re-usable solutions
Build the infrastructure for developing efficient, reliable, testable services code in a variety of technical stacks
Work closely with partner engineering teams to guide the development process from requirements and design through development, integration, testing, and deployment
Partner closely with various Adobe teams advising on using our technology, investigating bugs, and collaborating on providing new features
Respond to urgent production issues requiring fast resolution and deployment of code fixes/updates
Participate in inventing technology that has an enormous impact across Adobe, writing patents, and participating in an active internal community of software development professionals