Senior ML Engineer

Key Skills

AI Robotic systems, Computer Vision (CV), CUDA/GPU programming, GANs, Python Programming, PyTorch

Job Description

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!

Sr. Machine Learning Engineer, Firefly

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.

Sr. Machine Learning Engineer, Firefly

What you'll Do

• Contribute to the backend services for Firefly that power the generative AI features on Firefly website, Photoshop, Illustrator, Express, Stock and other applications/surfaces
• Develop GPU optimized, efficient model pipelines for new Firefly features serving a variety of modalities like images, vectors, 3D, etc.
• Ensure a scalable, reliable cloud service with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues
• Contribute to Project Colligo, the AI superhighway for inference that will handle and serve a collection of ML models in a highly scalable and resilient system
• Develop critical aspects of the business logic in the Firefly services to ensure metering of usage, entitlement checks, quota limits and upsell workflows

What you need to succeed

• 7+ years of hands-on experience with PyTorch and Python in a production environment
• Proven expertise in creation and optimization as well as operation of GPU intensive deep learning workloads in production environments
• Deep understanding of model serving, orchestration, scaling and GPU resource management
• Demonstrated experience productizing pipelines using generative models: (e.g., Diffusion, Generative Adversarial networks (GAN), Autoregressive & Variational auto-encoders (VAE))
• PhD or Master's in Computer Engineering, Computer Science, Computer Vision, Robotics, related field or similar

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 $141,100 -- $281,700 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).