Machine Learning Engineer for AV Navigation
3 days ago
About the Role
We are seeking a Machine Learning Engineer to work on our AV Navigation project. The ideal candidate will have expertise in developing ML models that accurately predict the behavior of surrounding agents and plan optimal trajectories for our AVs.
Responsibilities
- Develop novel algorithms for agent behavior prediction and AV planning
- Conduct research on combined prediction and planning models to improve overall system performance
- Work closely with cross-functional teams to integrate ML models into our Autonomy Stack
- Test ML models in simulation to ensure performance and generalization
Requirements
- Ph.D. in Electrical Engineering, Computer Science, Robotics, AI, Mathematics, or related field
- 1-3 years experience in Autonomous Driving, Robotics, or Deep Learning
- 1-3 years research experience in Generative Modeling, Behavior Prediction and Planning, Statistics, Probability theory
- Deep knowledge of Autonomous Driving Behavior and map formats
- Experience with simulation environments like CARLA, Waymax, or similar platforms
- Strong foundation in data structures, algorithm design, and complexity analysis
- Expertise in programming languages and tools for high-performance computing in Python/C++ and machine learning frameworks like TensorFlow/PyTorch
- Published research findings in top-tier technical journals and conferences
Estimated Salary: $220,000 - $280,000 per year
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