AI Resident

closed
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Normal Computing

πŸ“Remote - United States

Summary

The job is an AI Research Residency at Normal Computing, lasting 6-12 months with the possibility of extension. The role involves developing cutting-edge AI algorithms and hardware paradigms for a physics-based AI platform. The position can be based in New York or remote.

Requirements

  • Experience with large-scale numerical simulations, including benchmarking of ML algorithms and training of ML models
  • Experience with modern AI methods, such as probabilistic ML, Bayesian reasoning, sampling algorithms, and generative AI models
  • Familiarity with classical physics formalism, differential equations, and stochastic processes
  • Familiarity with characterizing the impact of noise and imperfections on algorithmic performance
  • Familiarity with data science applications and specific use cases of ML methods
  • Proficiency in at least one programming language, with a preference for those commonly used in ML or scientific computing such as Python or C++
  • Familiarity with TensorFlow, PyTorch, Jax, NumPy, Pandas, or similar ML/scientific libraries

Responsibilities

  • Interface with our world-class research team focused on developing a full-stack physics-based AI platform
  • Explore cutting-edge generative AI tools for novel applications
  • Research and develop new algorithms and hardware paradigms for AI
  • Conduct numerical benchmarking of algorithmic and hardware proposals
  • Optimize hardware speedups over state-of-the-art and characterize the impact of hardware noise
  • Investigate commercial applications that stand to benefit from Normal’s physics-based AI platform

Benefits

  • Competitive salary
  • Benefits including medical (Depending on location)
  • Opportunity to explore a full-time role at Normal Computing after the residency
This job is filled or no longer available

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