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Generalist

Software Engineer: ML Optimization

Generalist
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3 months ago
Somerville, MA, USA or San Mateo, CA, USAMid Level
H1B Sponsor

Base Salary

$200k - $350k/yr

Responsibilities

  • Own optimizations on the training and on-robot inference stacks.
  • Implement ML, hardware, and software changes for performance gains.
  • Optimize both inference and training stacks.
  • Pursue ML optimizations across various system components.

Requirements

  • Proficient in the latest ML techniques for training and inference optimizations.
  • Experience with transformer and diffusion-based architectures.
  • Ability to identify optimizations in CUDA kernels, ML architecture, and network bottlenecks.
  • Familiarity with tools like torch, numpy, and Python.

Tech Stack

NumPyPython

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