Senior Deep Learning Engineer

About the Role

Our client is seeking a highly skilled Senior Deep Learning Engineer to join their world-class research and development team in Cambridge . This role will involve designing, implementing, and optimizing state-of-the-art deep learning models for challenging AI problems. You will work with vast datasets, cutting-edge hardware, and collaborate with leading researchers and engineers to push the boundaries of artificial intelligence. This is an exceptional opportunity to contribute to groundbreaking advancements in deep learning within a dynamic and intellectually stimulating environment in Cambridge .

Key Responsibilities

• Design, train, and deploy complex deep learning models using frameworks like TensorFlow and PyTorch.
• Optimize model performance for speed, accuracy, and resource efficiency on various hardware platforms.
• Conduct research and development into novel deep learning architectures and techniques.
• Collaborate with researchers and engineers to integrate deep learning solutions into products and services.
• Stay current with the latest advancements in deep learning and artificial intelligence research.

Requirements

• PhD or Master's degree in Computer Science, AI, Machine Learning, or a related field.
• 4+ years of experience in deep learning research and development.
• Expertise in Python and proficiency with major deep learning frameworks.
• Strong understanding of neural network architectures, optimization algorithms, and regularization techniques.
• Experience with large-scale data processing and distributed training is highly desirable.

Benefits

• Leading industry salary and comprehensive benefits package.
• Hybrid working model, offering flexibility from our Cambridge office.
• Significant opportunities for publication and presentation at leading AI conferences.
• Access to high-performance computing resources.
• A culture of innovation and intellectual curiosity.