A cutting-edge AI startup, developing large module, is seeking a Research Engineer to join a successful global team. As part of the research team, you will contribute to ideation, designing, implementing, evaluating and finally deploying breakthrough machine learning models. Your work will be focused on the entire lifecycle of the models and you will be responsible for their performance in every meaning of this word – achieving high evaluation scores, being efficient to train and producing fast predictions. At the same time you will contribute to the evaluation protocols themselves, as well as ensuring that our research code allows swift, rapid development and testing of the new ideas – both your own and your colleagues. – Location: תל אביב-יפו
Requirements
BSc/MSc/PhD in computer science/machine learning Strong fundamentals of software engineering Strong knowledge of Python, and its ML frameworks Experience with one or more: Full lifecycle of AI model development ML infrastructure frameworks and tools Developing new ML methods, algorithms and models GPUs (or TPUs) and distributed training Scaling up models and training regimes Knowledge of: Classical ML methods and algorithms Deep Learning techniques Nice to have Experience with foundational models, e.g. LLMs Published research at AI conferences Contributions to open source ML projects Experience working with tabular data / predictive analytics High Kaggle rank
A cutting-edge AI startup, developing large module, is seeking a Research Engineer to join a successful global team. As part of the research team, you will contribute to ideation, designing, implementing, evaluating and finally deploying breakthrough machine learning models. Your work will be focused on the entire lifecycle of the models and you will be responsible for their performance in every meaning of this word – achieving high evaluation scores, being efficient to train and producing fast predictions. At the same time you will contribute to the evaluation protocols themselves, as well as ensuring that our research code allows swift, rapid development and testing of the new ideas – both your own and your colleagues. – Location: תל אביב-יפו
Requirements
BSc/MSc/PhD in computer science/machine learning Strong fundamentals of software engineering Strong knowledge of Python, and its ML frameworks Experience with one or more: Full lifecycle of AI model development ML infrastructure frameworks and tools Developing new ML methods, algorithms and models GPUs (or TPUs) and distributed training Scaling up models and training regimes Knowledge of: Classical ML methods and algorithms Deep Learning techniques Nice to have Experience with foundational models, e.g. LLMs Published research at AI conferences Contributions to open source ML projects Experience working with tabular data / predictive analytics High Kaggle rank
