Machine Learning Engineer 3 (Firefly) – Senior ML Engineer, GenAI Services at Adobe
Listed by DevShelfHub
About the Role
Adobe Firefly is at the forefront of generative AI, powering creative features across Photoshop, Illustrator, Express, Stock, and Premiere. As demand for scalable GenAI inference systems grows, Adobe is hiring a Senior Machine Learning Engineer for its Generative AI Services team to build high-performance generative AI systems and GPU-accelerated pipelines.
What you'll do
- Design and development of core GenAI services and APIs integrating generative models into Adobe flagship products
- Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration
- Collaborate with Adobe Research and model developer teams on inference strategies and productization
- Build and optimize GPU-accelerated pipelines for customized model training and inference
- Prioritize performance, scalability, and reliability in all ML systems
- Foster a culture of innovation, technical excellence, and continuous improvement
- Mentor other ML engineers and set technical direction
What we're looking for
- 6+ years of experience in machine learning including production-scale deployments
- 4+ years leading large-scale, GPU-intensive GenAI systems (training, inference, optimization)
- Experience with PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python
- Good understanding of generative model architectures: diffusion models, transformers, GANs
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This senior role offers high-impact work on Adobe's most complex GenAI engineering challenges at the forefront of the industry.
- Design and develop core GenAI services and APIs integrating generative models into Adobe products
- Build ML workflows for enterprise-scale model customization, serving, and ecosystem integration
- Collaborate with Adobe Research on model inference strategies and productization
- Build and optimize GPU-accelerated pipelines for training and inference
- Set technical direction and mentor other ML engineers
- Work with PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo
- Exposure to diffusion models, transformers, and GANs
- Experience with Kubernetes, distributed systems, and MLOps platforms
- Foster culture of innovation, technical excellence, and continuous improvement
- Part of Adobe's industry-leading creative AI platform
About Adobe
- Industry
- Technology
- Company Size
- 500+
- Website
- adobe.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 6–10 years
- Location
- Not specified in posting
- Work Mode
- Hybrid
- Category
- AI / ML
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