Machine Learning Architect, Firefly Full-time

Our 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

Firefly is the new family of creative generative AI models coming to Adobe products that offers a new way to conceptualise, 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 AI models trained on hundreds of millions of images owned or licensed by Adobe. We are hiring for a highly strategic and visible role to help evolve these models and the associated prompt engine. This is an opportunity to reach millions of creatives, helping them recreate the way they work!
What You’ll Do

• Engage with Applied Research (and Research) groups and design end-to-end machine learning solutions that have organizational-wide impact using innovative architectures
• Contribute to the backend services for Firefly that power the generative AI features on Firefly website, Photoshop, Illustrator, Express, Stock and other applications/surfaces
• Design and develop GPU optimized, efficient model pipelines for new Firefly features serving a variety of modalities like images, vectors, 3D, etc.
• Ensure the system architecture and design deliver a scalable, reliable cloud service with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues
• Contribute to the architecture and design of the internal AI Inference Platform that will handle and serve a collection of ML models in a highly scalable and resilient system

What You’ll Need to Succeed

• A deep and proven understanding of AI/ML, including ML frameworks, public cloud and commercial AI/ML solutions
• Demonstrated experience with Pytorch, SageMaker, HuggingFace is required
• Image Processing, Computer Vision, Generative AI experience is a MUST
• Validated expertise in creation and optimization as well as operation of GPU intensive ML workloads in production environments
• Deep understanding of model serving, orchestration, scaling and GPU resource management
• Strong communication and collaboration skills – building strong relationships with internal customers and external partners
• Exceptional analytical and problem-solving skills, with the ability to think strategically and make data-driven decisions
• A passion for staying up to date with the latest trends and technologies in AI/ML – in the cloud and on device
• A Bachelors, Masters or PhD degree in Computer Science, Computer Vision, Robotics, or a related field, or equivalent confirmed experience

#FireflyGenAI

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $170,900 — $325,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

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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