Senior Machine Learning Engineer, Firefly

Key Skills

Aartificial intelligence, Analytical and Problem solving, AWS Sagemaker, Computer Vision (CV), Effective communication skills, Generative AI, GPUs, HuggingFace, Image processing, Machine learning techniques, Optimization, PyTorch

Job Description

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.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.