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Job Description

Build and deploy production machine learning models for complex challenges in today’s electric grid.

Responsibilities

  • Train and deploy machine learning models in production environments
  • Collaborate with senior team members to deliver enterprise-quality ML systems across multiple ML domains
  • Operationalize end-to-end ML workflows for model training and serving at enterprise scale
  • Track and incorporate the latest advances in machine learning into ongoing work

Requirements

  • Master’s Degree or Bachelor’s Degree in Machine Learning, Computer Science, Statistics, or a related field
  • Experience in machine learning model development and engineering
  • Expertise in one or more areas: multimodal machine learning, NLP, agentic AI, planning, control, reinforcement learning
  • Strong programming skills in Python
  • Experience with ML frameworks such as PyTorch or TensorFlow
  • Experience building and deploying ML systems at scale, or demonstrated ability to perform applied ML research and develop state-of-the-art results in an academic setting

Technologies

  • Python
  • PyTorch
  • TensorFlow
  • AWS
  • GCP
  • Azure

Benefits

  • Competitive salary and equity
  • Medical, dental, and vision coverage
  • Generous PTO and a flexible hybrid work model
  • 401(k) with employer contribution
  • Professional development
  • Opportunity to work on important real-world problems in an Alphabet-backed environment

It’d Be Great If You Also Had These

  • PhD in Machine Learning, Computer Science, Statistics, or a related field
  • Experience with cloud platforms such as AWS, GCP, or Azure
  • A portfolio of projects showing ML expertise

Values

  • Take charge: initiative and ownership of outcomes that move the mission forward
  • Transform with purpose: solutions that solve real problems and create meaningful impact
  • Be a Tapestry, not a thread: collaborate across diverse skills and perspectives
  • Always fine-tune: curiosity, feedback, and iterative improvement
  • Stay grounded: open listening, valuing different perspectives, and focus on what matters most

Location: Mountain View, CA (hybrid) | Salary: USD 166,000 - 244,000 per year | Education: Master’s Degree/Bachelor's Degree in Machine Learning, Computer Science, Statistics or related field

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