Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas
Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models
Taking approaches from initial evaluation and experimentation all the way to shipping
Defining and collecting training datasets
Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++)
Requirements
MS or PhD in Computer Science or equivalent experience
5+ years of proven experience building robust software
Passionate about Artificial Intelligence for robotics and autonomous navigation
Strive to learn new things and like solving hard problems
Math knowledge
Experience in Deep Learning / Machine Learning
Background in Computer vision and/or Planning/Control
Programming and debugging skills in C++ and/or Python
Good communication and analytical skills
Ability to work with multiple teams in a dynamic environment