Research Engineer, World Models

📋 Description

• Design, implement, and scale state-of-the-art world-modeling systems.
• Develop video generation, latent diffusion, and multimodal models.
• LLM/VLM/VLA methods for scene understanding and control.
• Collaborate with researchers to translate models into scalable pipelines.
• Optimize training and inference for large-scale datasets.
• Ensure the quality, stability, and maintainability of the codebase.

🎯 Requirements

• Python and PyTorch (or JAX) skills.
• Distributed training and large-scale model deployment experience.
• Master's degree in computer vision, machine learning, robotics, or related field.
• Experience building generative or predictive models of the physical world.
• Team player with strong communication in fast paced environment.
• Bonus: cloud platforms, Kubeflow, Ray; ONNX/TensorRT.

🎁 Benefits

• Competitive compensation and equity.
• Health, Dental, and Vision coverage.
• Unlimited vacation.
• Flexible hours and work from home support.
• Daily meals and beverages when in office.
• Team building events on site, off site, and virtual.