Autonomy Engineer - Deep Learning

📋 Description Design, implement, and deploy CV and multimodal DL models. Leverage real-world video and sensor data for data mining and labeling. Use synthetic data to power DL algorithms. Leverage foundation models for distillation and label-efficient learning. Refine and optimize models for low-latency on embedded hardware. Develop evaluation benchmarks and metrics for autonomous systems. 🎯 Requirements MS/PhD in CS, EE or related field. Hands-on experience designing, training and deploying DL models. Proficient in Python and PyTorch; C++ preferred. Fast iteration using state-of-the-art papers. Thrive in a fast-paced, collaborative, technical team. Comfortable navigating a complex codebase. 🎁 Benefits Diversity-driven, inclusive culture.