2026 Summer Intern, PhD, Machine Learning Engineer, Simulation
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The role
This role focuses on advancing the realism and capabilities of state-of-the-art simulation environments used to test autonomous driving systems.
You will contribute to projects leveraging Generative AI for sensor data, multimodal models for world understanding, and reinforcement learning for agent controllability.
You will implement novel research ideas, design and run training pipelines, and perform rigorous evaluation of models and agents in simulated scenarios.
Collaborating with researchers and engineers, you will translate ideas into reusable code, experiments, and measurable improvements.
The internship is on-site in London, UK, requiring strong Python and deep learning skills with frameworks such as TensorFlow, PyTorch, or JAX.
Applicants should be pursuing a PhD in a related field with a solid foundation in DL, RL, and robotics or autonomous systems.
You will contribute to projects leveraging Generative AI for sensor data, multimodal models for world understanding, and reinforcement learning for agent controllability.
You will implement novel research ideas, design and run training pipelines, and perform rigorous evaluation of models and agents in simulated scenarios.
Collaborating with researchers and engineers, you will translate ideas into reusable code, experiments, and measurable improvements.
The internship is on-site in London, UK, requiring strong Python and deep learning skills with frameworks such as TensorFlow, PyTorch, or JAX.
Applicants should be pursuing a PhD in a related field with a solid foundation in DL, RL, and robotics or autonomous systems.
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