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Snapshot
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were a team of scientists engineers machine learning experts and more working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery and collaborate with others on critical challenges ensuring safety and ethics are the highest priority.
The Role
Were looking for a Research Engineer with exceptional engineering skills and understanding of large-scale neural network training and data processing as well as a strong working knowledge of machine learning experimentation.
Key Responsibilities
* Develop maintain and improve large scale multimodal models and data pipelines (used for training and evaluation of models).
* Collaborate with team members to develop and implement new methods for evaluating and improving multi-modal generative models particularly at the post-training stage.
* Develop and maintain pipelines to collect human data.
About You
In order to set you up for success as a Research Engineer at Google DeepMind we look for the following skills and experience :
* Proven experience of building codebases that support machine learning at scale. You are familiar with ML / scientific libraries (e.g. JAX TensorFlow PyTorch Numpy Pandas) distributed computation and large scale system design.
* Knowledge of machine learning and statistics.
In addition the following would be an advantage :
* MSc or PhD / DPhil degree in computer science physics mathematics applied stats machine learning or similar experience working in industry.
* Experience with LLMs VLMs and / or diffusion models training and inference.
* Experience working in industry on team projects from early (proof-of-concept) to late stages (implementation and evaluation).
Key Skills
Robotics,Machine Learning,Python,AI,C / C++,OS Kernels,Research Experience,Matlab,Rust,Research & Development,Natural Language Processing,Tensorflow
Employment Type : Full Time
Experience : years
Vacancy : 1
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