Dynamic Research Engineer for Autonomous World Models Development

Join the forefront of autonomous technology as a Research Engineer focused on world models. Develop innovative algorithms that push the boundaries of traffic scene prediction and generation in a collaborative setting.
As a key member of the World Models team, you will create scalable systems for modeling complex environments. Your work will combine generative and predictive elements to support autonomous driving applications. Collaboration with scientists will be a core part of translating cutting-edge research into functional systems.

Key Responsibilities:

• Design cutting-edge world-modeling systems

• Collaborate to refine model implementations

• Enhance training and deployment efficiency

• Construct data pipelines for quality datasets

• Maintain the stability of the modeling infrastructure
Requirements:

• Strong background in Python and PyTorch/JAX

• Master’s degree or equivalent experience in relevant fields

• Proven technical impact in model development

• Effective communication within research teams

• Deep understanding of predictive modeling techniques
Your contributions will redefine world modeling and foster advancements in autonomous vehicle technology.
#J-18808-Ljbffr