Sr. Machine Learning Engineer, Adobe Firefly Services

Adobe Inc.; California, San Jose (MO, CA); On-site; USD 120,000 - 229,000; Full time

Job summary

Join a forward-thinking company as a Senior Machine Learning Engineer in the Generative AI Services team. You will play a pivotal role in building scalable, high-performance generative AI systems that power Adobe's flagship products. This position involves designing efficient inference pipelines, optimizing models, and integrating cutting-edge generative models into Adobe's suite of applications. Collaborate with talented engineers and drive innovation in a dynamic environment where your contributions will significantly impact the way users interact with digital experiences. If you are passionate about AI and eager to tackle complex engineering challenges, this is the opportunity for you.

Qualifications

• 7+ years of experience in machine learning with production-scale deployments.
• 3+ years leading large-scale, GPU-intensive GenAI systems.

Responsibilities

• Design and develop core GenAI services and APIs for Adobe products.
• Build GPU-accelerated pipelines for model training and inference.

Skills

Machine Learning

Generative AI

Model Optimization

Communication Skills

Education

MS or PhD in Computer Science

Equivalent Industry Experience

Tools

PyTorch

CUDA

Triton

TensorRT

Nvidia Dynamo

Python

Kubernetes

Job description

Our Company

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!

Job Description

Adobe Firefly's Generative AI Services team is seeking Senior Machine Learning Engineers for our GenAI Services area. In this high-impact role, you will work with a talented team to build scalable, high-performance generative AI systems powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. Your responsibilities will include designing and developing inference pipelines, optimizing models for latency and throughput, and building APIs and ecosystems that integrate Adobe's first-party and third-party generative models into Adobe's suite of products for individual and enterprise customers. You will address complex engineering challenges, set technical direction, and mentor other ML engineers.

Job Responsibilities

1. Design and develop core GenAI services and APIs that integrate a wide range of generative models into Adobe's flagship products.
2. Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
3. Collaborate with Adobe Research and other model development teams focusing on inference strategies and productization.
4. Build and optimize GPU-accelerated pipelines for model training and inference, emphasizing performance, scalability, and reliability.
5. Foster innovation, technical excellence, and continuous improvement across the organization.

What You'll Need to Succeed

• MS or PhD in Computer Science, Machine Learning, or related field, or equivalent industry experience.
• 7+ years of experience in machine learning, including deployment at scale.
• 3+ years leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization).
• Experience with frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
• Understanding of generative model architectures like diffusion models, transformers, and GANs.
• Strong communication and leadership skills, with a proven ability to drive alignment in matrixed organizations.

Preferred Qualifications

• Experience with model serving, inference, orchestration, and GPU resource management in large-scale environments.
• Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms.