Behavior Prediction Machine Learning Engineer

• Research and develop algorithms to predict future behaviors of vehicles, cyclists and pedestrians.
• Develop offline data-driven platforms for fast adaptation of the behavior prediction ML models.
• Deliver on target behavior prediction SW and closely work with the behavior planning team to achieve the most intelligent autonomous driver in class.
• Work closely with the platform and test teams for deployment and support of behavior prediction module on various car models.
• Work with massive field-testing data to continuously improve autonomous driving technologies.

• PhD or Master in computer science, electrical engineering, or other related fields.
• Strong experience in applied machine learning including data collection, data analysis, feature engineering and model training.
• Solid understanding on data structures, algorithms, code optimization and large-scale data processing.
• Proficient in developing algorithms in Python or C++.
• Familiar with common DL frameworks.
• Excellent problem-solving skills.

• Experience in Deep Learning, Machine Learning, Robotics, Natural Language Processing, or similar technical fields.
• Hands on experience in applying ML/DL for behavior prediction and motion planning.
• Experience in CNN/RNN/GNN, imitation learning and reinforcement learning
• Experience in working with HD map.
• Experience in GPU/CUDA/TensorRT

What do we provide:

• A fun, supportive and engaging environment
• Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving
• Opportunity to work on cutting edge technologies with the top talent in the field
• Competitive compensation package
• Snacks, lunches and fun activities