Senior Machine Learning Engineer - 5

The Firefly GenAI engineering team is looking for a passionate ML Engineer to enable and accelerate the Adobe GenAI creative flows powered by pioneering 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, PPro, Express, Photoshop, Podcast and others. This is a unique opportunity to work on powerful new and innovative generative technologies. In this role, you will work closely with ML researchers, bringing groundbreaking AI experiences to our users by enabling large-scale productisation 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, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces
• Work on large-scale stateful and stateless distributed systems for AI workflows with cost efficient strategies
• 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

• 10+ years of experience
• Excellent programming skills (Python)
• Proven programming skills with standard machine learning tools such as Python, PyTorch, and TensorFlow
• Experience in pioneering Generative AI technologies, such as diffusion and/or GAN models
• Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases
• 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
• Bachelor's / Masters degree in engineering

Bonus

• Experience with GPU optimization (CUDA, Triton, TRT, AOT)
• Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats, to ensure compatibility and optimized performance across different platforms