Senior/Lead Machine Learning Engineer, Slamcore

Responsibilities:

• Exercise general machine learning practices for model training and evaluation
• Design, train, and maintain deep learning networks in Pytorch
• Enable deep network inference in the C++ codebase
• Deploy deep networks using ONNX and TensorRT
• Maintain data labeling 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 vectorization techniques
• Bachelor’s degree in CS, ML, Robotics, or related fields