✨ About The Role
- Develop novel architectures for classifying and understanding dynamic urban environments using high-quality sensor data
- Provide a probabilistic representation of the future state of the world, focusing on predicting the behavior of vehicles, pedestrians, and cyclists
- Integrate data-driven models into planning software to ensure safe and smooth customer experiences
- Collaborate with the Prediction team to leverage sensor data and semantic information for creating accurate future state representations
- Work on testing, validating, and deploying algorithms in a fast-moving and highly execution-oriented team
âš¡ Requirements
- Experienced software engineer with a background in computer science or a related field, specializing in prediction and behavior modeling
- Proficient in C/C++ and experienced in production ML pipelines, computer vision, and machine learning techniques
- Skilled in training and deploying Deep Learning models and working with large datasets efficiently
- Strong mathematical skills and understanding of probabilistic techniques
- Ability to design large-scale scalable software architectures and create real-time systems for solving complex prediction tasks