Engineering Manager, Agentic Ml (tapestry)

X9

Mountain View, US
Base: $201,000 - $265,000; bonus/equity: bonus + e...
On-site
6+ years machine learning experience
Deep expertise in llms and agentic systems
Proficiency with tensorflow pytorch or jax/flax
X9 is seeking an Engineering Manager for Tapestry, its initiative aimed at revolutionizing the electric grid through AI and advanced analytics. The role demands extensive experience in machine learning and technical leadership, with a focus on building an AI-enabled platform to enhance energy management

Job Summary

  • The role involves leading the research, development, and deployment of generative AI and agentic design to solve critical electric grid challenges.
  • Candidates must provide deep mentorship while staying hands-on to ensure production deployments are robust and scalable at Google scale.
  • The position offers competitive salary, equity, medical coverage, and the opportunity to work on meaningful real-world problems within an Alphabet-backed environment.

Matching Summary

Match Score: 85

X9 is seeking an Engineering Manager for Tapestry, its initiative aimed at revolutionizing the electric grid through AI and advanced analytics. The role demands extensive experience in machine learning and technical leadership, with a focus on building an AI-enabled platform to enhance energy management.

Salary

Base: $201,000 - $265,000; Bonus/Equity: Bonus + Equity included; Benefits: Medical, dental, vision, PTO, 401(k) match

Skills & Requirements

Must-have

  • 6+ years machine learning experience
  • Deep expertise in LLMs and agentic systems
  • Proficiency with TensorFlow PyTorch or Jax/Flax
  • Experience deploying models on AWS GCP or Azure
  • Technical leadership and people management skills

Nice-to-have

  • PhD in Computer Science or related field
  • Experience in zero-to-one high-growth environments
  • Contributions to open-source ML projects
  • Publications in top-tier conferences
  • Passion for clean energy solutions

Key Requirements

  • Bachelor's or Master's degree in Computer Science or Engineering
  • 6+ years of deep experience in ML model development
  • Proven track record in technical leadership roles

Work Rights

Not specified

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