Machine Learning Intern

Summary

Join our team as an Autonomous Vehicle Perception Intern and contribute to the design and implementation of deep neural networks for autonomous vehicle perception. Collaborate with experts in the field, gain valuable experience in modern deep-learning techniques, and work on a product-ready code base.

Requirements

• Experience with modern deep learning frameworks (e.g., Pytorch and Tensorflow)
• Fluency in C++
• Experience in implementing and training deep learning models
• MSE degree or a senior PhD candidate in Computer Science, Computer Vision, Robotics or related fields

Responsibilities

• Collaborate with our team of engineers to develop and implement state-of-the-art deep neural networks tailored for autonomous vehicle perception
• Work with sensor data from various sources, such as LiDAR, radar, and camera, to create robust models that improve the vehicle's ability to perceive and predict its surroundings
• Contribute to the development and enhancement of a product-ready code base, ensuring that code is scalable, maintainable, and meets high-quality standards

Benefits

• Medical insurance
• 401k
• Housing stipend