Senior Research Scientist, Foundation Model for Simulation
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The role
Conduct applied foundation model research and development for simulation-driven autonomous systems.
Design and run compelling experiments by training and evaluating large deep learning models.
Present results to peers and leadership to inform strategy and product decisions.
Write clean, well-tested code with documentation and unit tests.
Requires a Masters or PhD in deep learning for behavior and agent modeling or simulation, plus 3+ years of experience with modern deep learning frameworks (prefer JAX or TensorFlow 2; PyTorch acceptable).
Preferred experience includes generative modeling, LLMs/VLMs, post-training RL, distillation, transformers, autoencoders and embeddings.
Design and run compelling experiments by training and evaluating large deep learning models.
Present results to peers and leadership to inform strategy and product decisions.
Write clean, well-tested code with documentation and unit tests.
Requires a Masters or PhD in deep learning for behavior and agent modeling or simulation, plus 3+ years of experience with modern deep learning frameworks (prefer JAX or TensorFlow 2; PyTorch acceptable).
Preferred experience includes generative modeling, LLMs/VLMs, post-training RL, distillation, transformers, autoencoders and embeddings.
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