About the position
Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you'll solve massively complex problems alongside other passionate, smart people, growing as an expert while broadening your field of knowledge. For Aurora's latest news, visit aurora.tech or follow us on LinkedIn. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We're searching for a Machine Learning / Computer Vision Software Engineer for our Perception Team.
Responsibilities
- 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
- 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
- Drive performance improvements & own validation for a perception capability
- Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver.
Requirements
- Excellent software engineering skills in C++ and Python
- Extensive experience in any deep learning framework, such as PyTorch, JAX, TensorFlow
- 6+ years of industry experience in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence
- Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or other robotics related projects)
Nice-to-haves
- 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)
Benefits
- Annual bonus
- Equity compensation
- Health insurance
- 401k
- Paid time off
