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.