Senior Deep Learning Engineer

About the Role

Our client is seeking a highly motivated and experienced Senior Deep Learning Engineer to join their pioneering AI research and development team in Cambridge . This role is central to designing, implementing, and optimizing advanced deep learning models that address complex challenges across various domains. You will work alongside world-class researchers and engineers, contributing significantly to the creation of next-generation AI technologies. This is an exceptional opportunity to apply your expertise in deep learning to impactful projects in a vibrant, innovation-driven environment.

Key Responsibilities

• Design, train, and evaluate state-of-the-art deep learning models for tasks such as image recognition, natural language understanding, and predictive analytics.
• Optimize model performance for deployment on various hardware platforms, including GPUs and TPUs.
• Implement deep learning solutions using frameworks like TensorFlow, PyTorch, and Keras.
• Collaborate with cross-functional teams to integrate deep learning models into product pipelines.
• Stay abreast of the latest research advancements and apply novel techniques to solve challenging problems.

Requirements

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of professional experience in deep learning research and development.
• Strong programming skills in Python and experience with relevant libraries and frameworks.
• Deep understanding of neural network architectures, training methodologies, and optimization techniques.
• Proven ability to translate complex research concepts into practical, efficient implementations.

Benefits

• Highly competitive salary and potential for significant equity.
• Fully remote working arrangement enabling global talent acquisition.
• Comprehensive private medical and dental coverage.
• Generous paid time off and parental leave policies.
• Access to cutting-edge research resources and opportunities for publication in Cambridge 's vibrant tech ecosystem.