Project description
The client is looking for a ML/Deep Learning Engineer that is able to steer and execute the technical strategy for our deep learning stack in our autonomous vehicle. You will work with a great engineering team that is highly motivated to make this a reality and a leadership that is laser focused on a product.
Responsibilities:
- Devise solutions and design neural networks for perception that run online on autonomous vehicles
- Help to design/improve our key deep learning tools based on LiDAR data: data, evaluation, compute
Requirements:
- Bachelor/Master in CS or equivalent
- 3+ of engineering experience in deep learning oriented teams
- 1+ year of experience on RGB perception segmentation and modelling and/or LiDAR models
- Mastering modern DL and python-related frameworks: Pytorch/Tensor Flow, Numpy, Scikit.
- Familiar with respect to DL state of the art, practices and recent research
- Able to design ML models from scratch: problem definition, data, model bring-up, debugging, evaluation and deployment