FewerJobs.
All jobs

Staff Software Engineer, Continuous Learning

Aurora Innovation, Inc. - San Francisco, California

Posted Mar 3, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified
Salary
Not verified not verified - source not recorded; timestamp not recorded
401(k) match
Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff Software Engineer, Continuous Learning San Francisco, California Who we are Aurora's mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. 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 will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, 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 Staff Software Engineer on the Autonomy Data: Continuous Learning team. The ideal candidate will have a passion for diving into our models and datasets. You will leverage state of the art foundation models as well as RLHF techniques to improve models with high quality data and build the datasets that power the Aurora Driver. In this role, you will - Improve our dataset quality by establishing semi-automated evaluation mechanisms leveraging state of the art models as well as RLHF techniques - Expand our foundation model approach for sourcing interesting events to millions of miles - Own model training and inference pipelines for all core Autonomy models - Collaborate across teams and functions (product, program, operations, data science) to drive projects from

Read the full description at aurora.tech. FewerJobs shows a source-linked preview and links to the original posting.

Apply at aurora.tech

Apply link not verified; last-live date unavailable.

What verified means

Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.

Related jobs