Senior ML Services Engineer

Key Skills

Aartificial intelligence, AWS, Azure, C++, Continuous Integration & Continuous Delivery - CI/CD, Generative AI, GitLab, GPUs, Jenkins, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

Role Overview

The 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://firefly.adobe.com/

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.

Responsibilities

• 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

Requirements

• 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

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