About the job
About Us
At Aurora Innovation, our mission is to safely and swiftly bring the advantages of self-driving technology to everyone. Our groundbreaking Aurora Driver is set to revolutionize the future of mobility and logistics, ensuring a safer and more efficient world for all.
Join us at Aurora to solve complex problems while collaborating with passionate and intelligent colleagues. As we continue to innovate, you will grow as an expert and expand your knowledge. For the latest updates, visit aurora.tech or follow us on LinkedIn.
We are seeking a Software Engineer to join our Machine Learning Data Engine: Labels Platform team. This team is responsible for production services that support high-volume data labeling operations. You will contribute to the development of data models and service interfaces that cater to various autonomy data consumers. The performance of our autonomous systems relies heavily on the quality, selection, and volume of data, and your work will be critical to our mission. You will have opportunities to engage in projects that are vital to our operations and help develop innovative ML Ops solutions. Aurora's unique position in the industry stems from our comprehensive toolchain for data collection, labeling, model training, and evaluation.
Key Responsibilities:
- Implement production best practices to ensure the reliability of our platform.
- Develop features for new labeling applications.
- Collaborate with cross-functional teams (product, program, operations, data science) to drive projects from inception to completion.
- Utilize ML Ops best practices to design processes that enhance data coverage and quality.

