| Company | Slamcore |
| Job title | Senior Machine Learning Engineer |
| Job location | London, England, UK |
| Type | Full Time |
Responsibilities:
- Exercise general machine learning practices for model training and evaluation
- Design, train, and maitain deep learning networks in Pytorch
- Enable deep network inference in the C++ codebase
- Deploy deep networks using ONNX and TensorRT
- Maintain data labelling pipelines and identify data imbalance issues
- Implement intelligent data sampling strategies to ensure optimal accuracy of the learned algorithms, leveraging available data to the full extent
- Keep up-to-date with recent developments in deep and machine learning
Requirements & Skills:
- Strong mathematical or computer science background
- Experience with deep learning frameworks, e.g. Pytorch, Keras, TensorFlow
- Experience with parallel and distributed training, model distillation, etc.
- Track record of successfully implementing and deploying machine learning models in production
- Knowledge of best software engineering and machine learning practices
- Good knowledge of Python
- Working knowledge of C++
- Knowledge of basic Python tools and libraries such as scikit-learn or numpy, including code vectorisation techniques
- Bachelor degree in CS, ML, Robotics, or related fields
The nice-to-haves
- Experience with training models in the cloud (e.g. AWS, Azure)
- Previous experience in SLAM, state estimation, or related areas is a great plus
- Commercial experience in robotics, computer vision, image and signal processing, computer graphics and related fields
- Previous experinece in embedded software engineering
