AI Research Engineer Intern
Core
Developing a Causal ADAS Foundation Model to understand driving scenes, identify causal factors, predict risk, and support trajectory planning for autonomous driving.
Role type
AI Research Engineer Intern
Builds
Causal ADAS foundation models, risk prediction systems, and trajectory planning models for automotive applications.
Domain
Automotive, Autonomous Driving, Edge AI
Deliverable
production ML models
Required skills
Python, PyTorch or TensorFlow, machine learning, deep learning, computer vision, neural network architectures
Preferred skills
Autonomous Driving, Large Language Models, Vision-Language Models, World Models, Reinforcement Learning, Causal AI, Multi-modal Learning, Robotics, ONNX, TensorRT, Edge AI deployment
Technologies
PyTorch, TensorFlow, ONNX, TensorRT
Responsibilities
Develop and evaluate AI models for video-based driving scene understanding; Design methods to identify causal factors influencing driving decisions; Build models for risk prediction, collision forecasting, and safety assessment; Develop trajectory prediction and planning models for ADAS applications; Create counterfactual and intervention-based evaluation pipelines; Benchmark models against state-of-the-art baselines; Optimize models for deployment on automotive hardware platforms.
Seniority
Intern