World Models & Simulation Research Engineer

Deeproute.ai; Iowa; In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Deeproute.ai aims to advance autonomous driving research by developing learned world models that generate environments, predict future observations, and simulate dynamics. The role seeks hands-on researchers who will translate hypotheses into trainable models with measurable improvements.

The team emphasizes controllable, coherent simulations and evaluation across modeling, data, and infrastructure, with strong Python and PyTorch skills preferred.

Competenze

• Masters or PhD in Computer Science, ML, EE, Robotics, Applied Mathematics, or equivalent practical experience.
• Strong programming skills in Python and practical experience with PyTorch.
• Hands-on experience developing and training models in world modeling, video generation, spatiotemporal prediction, or learned simulation.
• Solid foundation in deep learning and generative or predictive modeling.
• Experience with large-scale model training or distributed ML systems.
• Ability to design rigorous experiments, analyze results, and draw sound technical conclusions.
• Strong software-engineering practices and clear technical communication.

Mansioni

• Research, develop, and adapt models for world generation, future prediction, and simulation.
• Advance model capabilities in controllability, consistency, and realistic world dynamics.
• Develop scalable and efficient training and inference systems for world models.
• Improve data and evaluation methods to support model quality and generalization.
• Design experiments, analyze model behavior, and use findings to guide further research.
• Collaborate across research and engineering to turn new ideas into reliable implementations and share technical findings.

Conoscenze

Python

PyTorch

World modeling

Video generation

Spatiotemporal prediction

Experiment design

Distributed ML systems

Communication

Software engineering

Formazione

Masters or PhD in Computer Science, Machine Learning, Electrical Engineering, Robotics, Applied Mathematics, or related field

Strumenti

Python

PyTorch

Descrizione del lavoro

Deeproute.ai aims to advance autonomous driving research by developing learned world models that generate environments, predict future observations, and simulate dynamics. The role seeks hands-on researchers who will translate hypotheses into trainable models with measurable improvements.

The team emphasizes controllable, coherent simulations and evaluation across modeling, data, and infrastructure, with strong Python and PyTorch skills preferred.