Senior Machine Learning Engineer
3 days ago
**Senior Machine Learning Engineer**
**Responsibilities**:
- Design and implement computer vision models for objection detection, segmentation, and tracking.
- Stay up to date with the latest developments in ML and rapidly prototype new advances in computer vision research.
- Provide input into the direction of the business and future product road maps.
- Develop, support, and maintain the pipelines that underlie ML technologies.
**Requirements**:
- Masters or PhD in a relevant field, ideally with a publication record.
- Excellent theoretical grounding in ML concepts and algorithms.
- Experience with a broad range of supervised and unsupervised methods, e.g. random forests, support vector machines, linear/logistic regression, dimensionality reduction, clustering, ensemble methods, bootstrapping, maximum likelihood estimation, and Bayesianmethods.
- Experience training a range of deep learning architectures ( e.g. multilayer perceptrons, recurrent networks, and convolutional networks).
- Experience developing cutting-edge computer vision models for image classification and object detection (e.g. ResNets, RCNNs).
- Experience implementing, adapting, and optimising published state of the art deep learning models.
- Fluency in Python.
- Proficiency using Python numerical packages (e.g. NumPy, SciPy, scikit-learn).
- Proficiency using Python deep learning framework (e.g. TensorFlow, PyTorch).
- Experience with software engineering practices, such as using version control and continuous integration.
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