| Location | South San Francisco, CA |
| Salary | 160,000 - 220,000 USD, yearly |
| Commitment | Full Time |
| Role | Autonomy Software |
| Remote | 🏢🌴Hybrid |
| First listed | In the last 3 months |
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Job Description
About Us
Agtonomy is a hybrid autonomy and tele-assist service platform that turns tractors and other equipment into autonomous machines. A robust sensor suite and custom software stack enable remote modes of operation with a higher margin of safety than conventional equipment. Agtonomy, through its OEM partners, will address both local agriculture skilled labor shortages and broader land maintenance operations, including wildfire prevention through land clearing.
About the role
We are looking for a talented ML Infrastructure engineer to join the Autonomy team and help build state-of-the-art model training, evaluation, and deployment pipelines to aid in the development of the perception modules of our self-driving vehicles. You will be responsible for providing solutions to empower machine learning development and optimize offboard training.
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