7 of 7 Remote/Hybrid Neural Network Jobs in Cambridge

advantage: A background in decision making (Bayesian optimization, bandits, reinforcement learning, active learning) and/or probabilistic modelling and methods (Gaussian processes, Bayesian neural networks, Variational inference, etc). Experience in numerical programming (Python/NumPy/Tensorflow/PyTorch). Experience or interest in applying machine learning ...

search or adsStrong CS fundamentals. Should be able to convert ideas to code with easeGood understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plusWe'd love to see that ...

quality through maintainable software, automated testing, continuous integration, effective engineering processes and customer feedback.Required Skills and Experience :A strong understanding of neural-network architecture and model execution, including computational graph representation and transformation, operator dispatch, memory planning, backend partitioning and execution across heterogeneous hardware.Proven experience in hardware ...

through maintainable software, automated testing, continuous integration, effective engineering processes and customer feedback. Required Skills and Experience : A strong understanding of neural-network architecture and model execution, including computational graph representation and transformation, operator dispatch, memory planning, backend partitioning and execution across heterogeneous hardware. Proven experience ...

experience levels.The RoleWe’re growing our diverse team, and you’ll contribute to the development and verification of next-generation neural network hardware! Collaborating with experts across global design centers, you’ll help deliver Arm’s next-generation IP using sophisticated tools and methodologies.As a System Test … running test cases, and working with modern tools and infrastructure.We are a distributed team crafting and deploying advanced emulation environments for pioneering Neural Accelerators. Your work will help bridge the gap between silicon development and real-world deployment, improved system validation, and reducing time-to-market.You’ll collaborate ...

following: driver development, inference engines like llama.cpp or vLLM, performance analysis of ML and GenAI workloads, knowledge of Neural Network Processing Units (NPU) or Graphics Processing Units (GPU) and how they are used for ML. In Return: You will receive a competitive reward package which includes generous ...

following: driver development, inference engines like llama.cpp or vLLM, performance analysis of ML and GenAI workloads, knowledge of Neural Network Processing Units (NPU) or Graphics Processing Units (GPU) and how they are used for ML.In Return: You will receive a competitive reward package which includes generous stock ...