The company is looking to develop and deploy machine learning-based scene understanding, behavior prediction, and planning models for its robotaxi using the latest deep neural networks.
Requirements
- In-depth understanding of common Machine Learning and Deep Learning algorithms
- Experience designing, training, and analyzing neural networks for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking
- Experience with PyTorch or other python-based deep learning frameworks
- Experience working with large data sets and deriving insights from data
- Strong programming skills in C++ and/or CUDA programming
- Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
Responsibilities
- Designing and executing high value experiments based on collaborative input from other machine learning engineers
- Prototyping and implementing continuously improving metrics to evaluate the performance of behavioral models across many desired scenarios and robotaxi capabilities
- Timely release of major model updates, including analysis of both off-line and on-road evaluation data
- Staying up to date with the latest trends in the fast moving industry, and proposing new architectures and network designs based on published literature
- Maintaining a high quality training and evaluation code-base, including portions of the training stack dedicated to dataset generation and evaluation
Other
- Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
- Experience mentoring and collaborating with others
- Occasional travel within the United States
- Ability to convey and detect communication, remain stationary at times for up to 50% of working time, move in designated working areas, and operate and use office equipment
