Ai Research Engineer Generative Modeling Self jobs at Tesla in United States, Palo Alto
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United States
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Palo Alto
194 jobs found
22.06.2024
T
Tesla AI Research Engineer Generative Modeling Self United States, California, Palo Alto
Spearhead the development and training of cutting-edge large generative models, including diffusion models, VAEs, autoregressive models, and GANs. Optimize model performance through improved training techniques and methods such as semi-supervised...
Train generative models and multi-task networks at scale, with millions of video clips and thousands of GPUs, with the objective to significantly enhance the capabilities of autonomous perception and planning....
Train large-scale foundation and generative models that are optimized for performance and latency. Improve data engine for large scale and high-quality dataset curation. Reinforcement Learning for instilling objectives and improving...
Lead applied research to advance foundation models for both autonomous driving and humanoid robots. Work across the machine learning stack – curating a massive stream of data, designing and implementing...
Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system. Research on cutting-edge techniques in multi-modal generative models, reward models...
Develop offline state estimation, 3D reconstruction, and sensor fusion algorithms to automatically generate supervision for deep neural networks. Train deep neural networks with large scale, auto-labelled datasets. Design and implement...
Hardware ownership: Specification, architecture, design, simulation, schematics, layout supervision, prototype, validation, and manufacturing of circuit boards. Design of electrical architecture, electronic circuits, processor selection and integration, system timing and bus...
Spearhead the development and training of cutting-edge large generative models, including diffusion models, VAEs, autoregressive models, and GANs. Optimize model performance through improved training techniques and methods such as semi-supervised...
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