About the job
About Us
At Aurora, we are on a mission to redefine transportation by delivering self-driving technology that is safe, efficient, and accessible to all.
Explore The Aurora Driver and join us in creating a transformative future in mobility and logistics.
At Aurora, you will engage with challenging problems alongside a team of passionate experts, fostering your growth as you expand your expertise. Stay updated with our latest developments through aurora.tech or connect with us on LinkedIn.
We are looking for a Staff Software Engineer to join our Autonomy Data: Continuous Learning team. This role is ideal for individuals eager to delve into complex models and datasets. You will utilize cutting-edge foundation models and Reinforcement Learning with Human Feedback (RLHF) techniques to enhance our models with high-quality data and to construct the datasets that drive the Aurora Driver.
Your Responsibilities
- Enhance dataset quality by developing semi-automated evaluation mechanisms using state-of-the-art models and RLHF techniques.
- Broaden our foundation model strategy for identifying noteworthy events over millions of miles.
- Take ownership of model training and inference pipelines for all core autonomy models.
- Collaborate across various teams (product, program, operations, data science) to manage projects from conception through to delivery.

