We are seeking a motivated Machine Learning Engineer Intern to join our autonomous vehicle research and development team. The intern will assist in building, training, and optimizing machine learning models that enable real-time perception, decision-making, and control for self-driving vehicles.
What you’ll be doing:
Develop and test deep learning models for object detection, tracking, and behavior prediction.
Preprocess and analyze sensor data from LiDAR, radar, and camera systems.
Collaborate with cross-functional teams on algorithm integration and performance evaluation.
Support data labeling, simulation, and validation pipelines.
Document model performance and contribute to internal reports.
What we need to see:
Enrolled in a Bachelor’s, Master’s, or PhD program in Computer Science, Electrical Engineering, Robotics, or a related field.
Strong knowledge of Python and libraries such as PyTorch or TensorFlow.
Familiarity with computer vision, deep learning, and reinforcement learning concepts.
Experience with autonomous systems, robotics, or simulation tools a plus.
Internship duration: 10–12 weeks (with potential for extension)
