Research Engineer Creating Scalable Generative World Models

Drive innovation in self-driving technology as a Research Engineer dedicated to world models. Engage in designing algorithms that enhance traffic scene understanding and real-time predictive capabilities.

This role targets the development and productionization of advanced world models. You’ll work on multimodal modeling techniques to synthesize real-world scenarios for autonomous systems. Your contributions will directly impact how our technology perceives and interacts with the environment.

Key Responsibilities:

• Develop generative and predictive world-modeling algorithms
• Collaborate with researchers for model robustness
• Optimize large-scale training and infrastructure
• Create data pipelines for effective dataset generation
• Ensure code quality and infrastructure stability

Requirements:

• Proficiency in Python, and PyTorch/JAX
• Master's degree in Machine Learning or related field
• Experience with large-scale model development
• Strong collaborative communication skills
• In-depth knowledge of generative models required

Your expertise will transform world models, leading the path for safer and more efficient autonomous transport solutions.

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