About The Position

As a Machine Learning Research Scientist, you will drive the development of next-generation AI models at a well-funded startup in the heart of San Francisco. You will lead groundbreaking research initiatives, translate complex theoretical concepts into scalable production code, and collaborate with a world-class team to push the boundaries of what is possible in machine intelligence.

Requirements

  • PhD or equivalent research experience in Computer Science, Mathematics, or a related quantitative field
  • Proven track record of publishing at top-tier AI conferences such as NeurIPS, ICML, or ICLR
  • Proficiency in deep learning frameworks like PyTorch or TensorFlow and strong software engineering fundamentals

Responsibilities

  • Design and implement novel machine learning architectures to solve complex, high-dimensional data challenges
  • Conduct rigorous experiments to validate model performance and ensure robustness in real-world applications
  • Collaborate with engineering teams to integrate research breakthroughs into a scalable software ecosystem
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