Machine Learning Engineer
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The role
Drive innovation in ultra-realistic world simulation for autonomous vehicles, developing the latest simulation technologies using foundation models for embodied agents.
Apply deep ML expertise, especially in Generative AI (GenAI), to push the realism of simulations and directly influence autonomous driving advancements.
Collaborate with a foundational AI research team to translate research into scalable, production-ready solutions.
Requirements include 5+ years of ML software engineering, 5+ years of Python, and experience with PyTorch, TensorFlow, or Jax/Flax.
Preferences include robotics/self-driving ML experience, production-grade C++, and training large-scale models on GPU/TPU clusters.
This hybrid role is based in Mountain View, CA, focusing on counterfactual scenario testing and simulation infrastructure.
Apply deep ML expertise, especially in Generative AI (GenAI), to push the realism of simulations and directly influence autonomous driving advancements.
Collaborate with a foundational AI research team to translate research into scalable, production-ready solutions.
Requirements include 5+ years of ML software engineering, 5+ years of Python, and experience with PyTorch, TensorFlow, or Jax/Flax.
Preferences include robotics/self-driving ML experience, production-grade C++, and training large-scale models on GPU/TPU clusters.
This hybrid role is based in Mountain View, CA, focusing on counterfactual scenario testing and simulation infrastructure.
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