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Tesla AI Research Engineer Foundation Models Self 
United States, California, Palo Alto 
376698120

23.06.2024
What You’ll Do
  • 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
  • Take a pioneering role in the field of machine learning for vision by pushing the state of the art in large model scaling for vision and multi-modal applications
  • Explore the frontier of large-scale distributed training and optimization, deploying models to real customers all over the world
What You’ll Bring
  • A proven track record of successfully scaling and training large, complex models
  • Experience dealing with infrastructure challenges, possessing techniques for optimizing the training of high-capacity models efficiently
  • Proficiency in Python and a strong foundation in software engineering best practices
  • An in-depth understanding of the fundamentals of deep learning, including but not limited to knowledge of layer details, loss functions, and optimization techniques
  • Expertise in various neural network architectures for computer vision, speech, NLP, and related domains
  • Prior experience with PyTorch, TensorFlow, JAX, or similar deep learning frameworks
  • Familiarity with standard scientific computing primitives, including but not limited to batched operations, grid sampling, scatter/gathering, and einsum
  • Strong expertise in system-level knowledge, enabling you to profile and optimize training and evaluation processes efficiently, is preferred