Aurora Mountain View , CA 94039
Posted 2 months ago
Aurora hires people who are excited to build the future of transportation. We are looking for machine learning experts to develop and implement the core algorithms for interpreting sensor data that enables intelligent driving decisions. You will be developing and applying learning-based algorithms related to sequential prediction, recursive state estimation, and classification for object detection and tracking.
In this role, you will do the following:
Collaborate with other members of the Perception autonomy team to improve/ideate and implement perception algorithms that power the Aurora Driver
Serve as a technical expert for the team on at least one area related to machine learning, with particular focus on computer vision, recursive state estimation, structured prediction, optimization, and others
Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios (e.g., on highways and city streets, long-range and multi-sensor object detection, detection under degraded sensors, etc.).
Design, prototype and evaluate machine learning algorithms and DNN architectures for detection of traffic actors, their action recognition, and semantic understanding of various traffic scenes that the Aurora Driver encounters.
Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver.
Excellent software engineering skills in Python and/or C++
Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow
Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record)
Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or robotics projects)
Contributions to open source project(s)
Strong track record in any field related to machine learning, as evidenced by top-tier publications
Examples of relevant fields and conferences: computer vision (e.g., CVPR, ECCV, ICCV, IJCV), machine learning (e.g., ICML, NeurIPS, JMLR, PAMI), robotics (e.g., RSS, IJRR), graphics (e.g., SIGGRAPH, TOG)