Step inside the world of self-driving freight, powered by the Aurora Driver. Delivering the benefits of self-driving technology safely, quickly, and broadly. Backed by Greylock, Index and Lightspeed.
About the role
Define the architecture of our onboard planning models: Develop and deploy large-scale models trained with Imitation Learning and Reinforcement Learning that enable the Aurora Driver to navigate complex environments with human-like fluidity and superhuman safety. Revolutionize evaluation: Develop powerful offboard critic models that can evaluate driving behavior at scale, identifying subtle nuances in comfort, progress, and safety that traditional heuristics miss. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
- BS, MS, or PhD in Robotics, Machine Learning, Computer Science, or a related quantitative field, or equivalent practical experience
- 2+ years of experience developing state-of-the-art ML models, either in a research or production setting
- Hands-on experience working on Imitation Learning or Reinforcement Learning applied to physical or simulated agents
- Experience training large models on massive datasets using distributed computing
- Fluency in Python, with a focus on writing high-performance, maintainable code
More about this role
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 are seeking a ML Engineer to join the Behavior Planning Team. This is a high-impact role where you will sit at the frontier of autonomous vehicle technology. You won't just be applying AI and ML methods; you will be advancing the state-of-the-art for how a self-driving system reasons about the world, interacts with humans on the road, and masters complex, high-dimensional decision-making.
Define the architecture of our onboard planning models: Develop and deploy...
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