Base: $151,800 - $265,350 annually (varies by loca...
4-7+ years machine learning experience
2+ years leading gpu-intensive genai systems
Expertise in pytorch, cuda, triton, tensorrt
This role involves building scalable, high-performance generative AI systems that power features across Adobe's flagship products like Firefly and Photoshop
Job Summary
This role involves building scalable, high-performance generative AI systems that power features across Adobe's flagship products like Firefly and Photoshop.
Candidates will design efficient inference pipelines and optimize models for latency and throughput while integrating both first-party and third-party models.
The position requires a strong background in GPU-accelerated pipelines and the ability to mentor other ML engineers while setting technical direction.
Matching Summary
This role involves building scalable, high-performance generative AI systems that power features across Adobe's flagship products like Firefly and Photoshop.
Salary
Base: $151,800 - $265,350 annually (varies by location); Equity: Eligible for new hire equity award; Benefits: Comprehensive benefits programs including health and wellness
Skills & Requirements
Must-have
4-7+ years machine learning experience
2+ years leading GPU-intensive GenAI systems
Expertise in PyTorch, CUDA, Triton, TensorRT
Deep understanding of diffusion models and transformers
Experience with Python and API development
Nice-to-have
Leadership skills in matrixed organizations
Experience with Kubernetes and MLOps platforms
Track record of driving technical alignment
Hands-on expertise in distributed systems
Key Requirements
MS or PhD in Computer Science or related field
4-7+ years of production-scale ML deployment experience
2+ years leading large-scale GenAI system optimization