AI Research Scientist

3 weeks ago


Cambridge, Cambridgeshire, United Kingdom Unreal Gigs Full time

Unreal Gigs: A Leading AI Research Institution

We're committed to pushing the boundaries of AI research and innovation. Our team of expert researchers and developers is dedicated to creating cutting-edge solutions that transform industries and improve lives.

About the Job

We're seeking an exceptional Deep Learning Researcher to join our team at Unreal Gigs. This is a fantastic opportunity for a highly skilled AI researcher to contribute to cutting-edge research in the field of deep learning.

Key Responsibilities

  • Design and Develop Innovative Deep Learning Algorithms: Create novel deep learning architectures that solve complex problems across various domains, from computer vision and natural language processing to generative models and reinforcement learning.
  • Collaborate with Cross-Functional Teams: Work closely with product teams, AI engineers, and data scientists to translate deep learning research into real-world applications.
  • Conduct Experiments and Optimize Models: Perform experiments to evaluate model performance, experimenting with hyperparameters, model architectures, and optimization strategies.
  • Publish Research and Contribute to the AI Community: Publish research findings in top-tier AI conferences and contribute to the AI community by sharing insights and advancing knowledge in the field of deep learning.

Requirements

  • Deep Learning Expertise: Extensive experience in deep learning techniques and neural network architectures, such as CNNs, RNNs, transformers, and GANs.
  • Research and Innovation: Strong background in conducting AI and machine learning research, with a proven track record of solving complex AI challenges through research and experimentation.
  • Programming and Frameworks: Proficiency in programming languages like Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.

Estimated Salary Range: $180,000 - $220,000 per annum, depending on location and experience.


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