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)
