Research Engineer
Core
Optimizing resource consumption of large-scale generative ML models for cloud and on-device deployment in Adobe's creative tools.
Role type
Research Engineer (ML Systems & Optimization)
Builds
High-performance ML models and tools for Adobe's web, desktop, and mobile applications.
Domain
Generative AI, Computer Vision, NLP, High-Performance Computing
Deliverable
production ML models
Required skills
Deep learning, model optimization/compression, high-performance computing, software engineering, Python, PyTorch, TensorFlow, JAX
Preferred skills
Diffusion model optimization, neural network pruning/knowledge distillation/quantization, sparse mixture of experts, TensorRT, C++, on-device ML
Responsibilities
Adapt models and algorithms to system/device limitations, build innovative tools for creative exploration, contribute to existing and new Adobe applications.
Seniority
Mid-to-Senior, hands-on IC
