Research Engineer

What you'll do

• Optimize resource consumption for large-scale generative models for cloud and on-device deployment.
• Adapt machine learning models and algorithms to function efficiently across various hardware platforms.
• Develop high-performance ML models for image processing, audio, video, animation, 3D, and vector graphics.
• Implement model compression techniques such as pruning, quantization, and knowledge distillation.
• Build innovative tools that enable users to explore creative potential through generative AI.
• Integrate new technologies into existing Adobe products and develop entirely new applications.
• Develop efficient architectures for large-scale multimodal models and sub-quadratic attention mechanisms.
• Deploy ML models using frameworks like TensorRT, CoreML, or ONNXRuntime across web, desktop, and mobile platforms.

What we're looking for

• A Master's degree in Computer Science or a related field is required.
• Alternatively, 3 years of industry experience is accepted in lieu of a graduate degree.
• Experience in improving the efficiency of mid- to large-scale ML models is required.
• Proficiency with Python and ML libraries such as PyTorch, TensorFlow, or JAX is required.
• Strong software engineering expertise is required.
• Deep learning skills including practical experience in computer vision or natural language processing are required.
• Knowledge of state-of-the-art machine learning methods for large scale multimodal models is desired.
• Experience with model optimization techniques like pruning, quantization, and deployment tools like TensorRT or ONNXRuntime is desired.