Research Engineer, Plus

• MS or PhD in CS, EE, mathematics, statistics or related field
• 2+ years of experience
• Expertise with Python, willingness to do some C++ development as needed
• Deep understanding of machine learning principles and methodologies
• Experience with implementing and maintaining deep learning pipelines
• Experience working on deep learning models in at least one deep learning framework (PyTorch, Tensorflow)

Desirable

• Collaborate with other members of the Perception team to develop algorithms that can enable the autonomous vehicle to better understand its environment
• Develop and maintain multi-modal, multi-view, multi-task end-to-end deep learning models that can help solve various perception objectives like object detection and tracking, and scene understanding
• Complete ownership of project from ideation, design, developing data requirements, model training, evaluation and deployment
• Research and prototype novel solutions which can help tackle the long-tail of real-world problems in challenging and diverse scenarios (e.g. on highway and local roads, extreme weather conditions, sensor failures, etc)
• Ensure all model development keeps a real-time focus and operates efficiently in compute-constrained environments
• Rigorous approach to model development: running well-designed experiments, defining suitable training and validation datasets, and evaluating on the right metrics