2026 Summer Intern, PhD, Machine Learning Engineer, Simulation
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The role
Advance the realism and capabilities of simulation environments for autonomous driving by contributing to projects that use cutting-edge AI models, including Generative AI for sensor data, multimodal world understanding, and reinforcement learning for controllability.
Implement novel research ideas into existing projects and run training and evaluation experiments to quantify improvements.
Currently pursuing a PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field; strong Python coding and deep learning experience with TensorFlow, PyTorch, or JAX.
We prefer hands-on experience with attention mechanisms, diffusion and/or autoregressive architectures applied to vision-language models, large language models, and related areas.
Experience with autonomous driving and/or robotics is a plus.
On-site in London, UK, with a collaborative, learning-driven culture and opportunities to contribute to real-world deployment.
Implement novel research ideas into existing projects and run training and evaluation experiments to quantify improvements.
Currently pursuing a PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field; strong Python coding and deep learning experience with TensorFlow, PyTorch, or JAX.
We prefer hands-on experience with attention mechanisms, diffusion and/or autoregressive architectures applied to vision-language models, large language models, and related areas.
Experience with autonomous driving and/or robotics is a plus.
On-site in London, UK, with a collaborative, learning-driven culture and opportunities to contribute to real-world deployment.
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