Machine Learning Engineer, Firefly
Adobe Software
JOB LEVEL
P40ADDITIONAL JOB LEVELS
P30-
P50EMPLOYEE ROLE
Individual ContributorThe Firefly GenAI engineering team is looking for a passionate Senior Software Development Engineer to enable and accelerate the Adobe GenAI creative flows powered by state of the art machine learning models.
Our goal is to seamlessly enable users to transform Creative Intent into Creative Success, through GenAI features, in our revolutionary content creation applications: Firefly, Express, Photoshop and others.
https://www.adobe.com/express/
https://www.adobe.com/products/photoshop.html
We are looking for a tenured software engineer who will be responsible for accelerating the enablement of cutting edge cloud based generative AI features . This is a unique opportunity to work on powerful new and state-of-the-art generative technologies. In this role, you will work closely with ML researchers, bringing cutting-edge AI experiences to our users by enabling the large scale productization through cloud based services.
What You'll Do:
Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, Photoshop, Illustrator, Express, Stock and other applications/surfaces
Work on large-scale stateful and stateless distributed systems, Kubernetes, and a wide range of diverse services, including infrastructure, real-time messaging, data ingestion platforms, SQL and no-SQL databases, web services, orchestration services and more
Collaborate closely with data scientists and engineers to ensure the GenAI services are effectively integrated into Adobe products and systems
Ensure scalable and reliable cloud services with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues
Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe`s GenAI engineering effectiveness and efficiency
What You Need to Succeed:
Excellent programming skills (Python, C++)
Proven programming skills with standard machine learning tools such as Python, PyTorch, and TensorFlow
Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases
Exposure to container runtime environments
Experience in building, deploying, and managing infrastructures in public clouds (AWS, Azure) or virtualization technologies.
Advanced understanding of AI/ML, including ML frameworks
Passion for staying up to date with the latest trends and technologies in AI/ML - in the cloud and on device
Experience with CI/CD tools (e.g., Jenkins, GitLab CI)
Bachelor’s / Masters degree in engineering
Bonus
Experience with GPU optimization (CUDA, Triton)
Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats, to ensure compatibility and optimized performance across different platforms
Internal Opportunities
Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!
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At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
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