2026 Phd Residency, Machine Learning For Grid Simulations (tapestry)

X9

Mountain View, US
Base: $109,000 - $150,000; bonus/equity: not speci...
On-site
Currently enrolled in phd program
Strong foundation in machine learning concepts
Experience with python or c/c++ programming
Tapestry, a project under Alphabet, is seeking a PhD resident specializing in machine learning for grid simulations. The role focuses on improving power grid simulations through advanced machine learning techniques while collaborating with experts in the field

Job Summary

  • This role focuses on advancing machine-learning-driven approaches for power grid simulations to improve speed and accuracy.
  • Candidates will work within a multidisciplinary team of experts in AI, energy systems, and software engineering at Tapestry.
  • The position offers competitive salary, housing relocation support, and access to Alphabet-scale compute resources.

Matching Summary

Match Score: 85

Tapestry, a project under Alphabet, is seeking a PhD resident specializing in machine learning for grid simulations. The role focuses on improving power grid simulations through advanced machine learning techniques while collaborating with experts in the field.

Salary

Base: $109,000 - $150,000; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, stipend, housing support

Skills & Requirements

Must-have

  • Currently enrolled in PhD program
  • Strong foundation in machine learning concepts
  • Experience with Python or C/C++ programming

Nice-to-have

  • Interest in power systems and numerical simulations
  • Experience with physics-informed machine learning
  • Familiarity with PyTorch or TensorFlow frameworks

Key Requirements

  • PhD enrollment in STEM field
  • Exceptional MS degree considered
  • Background in Computer Science or Electrical Engineering

Work Rights

Not specified

Tailored Resume

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