Engineering Manager, Ml Agentic (tapestry)

X9

Mountain View, US
Base: $201,000 - $265,000; bonus/equity: included;...
On-site
Machine learning model development and deployment
Llm and agentic framework expertise
Deep learning frameworks tensorflow pytorch jax
X9 is seeking an Engineering Manager for Tapestry, an innovative project focused on transforming the electric grid using AI. The ideal candidate will have extensive experience in machine learning architecture and leadership, overseeing a team that develops advanced analytical tools for the energy sector

Job Summary

  • The role involves leading an elite team to architect Tapestry's core agentic framework for the global electric grid.
  • Candidates must provide code-level leadership while managing end-to-end system development from research to production deployment.
  • The position offers competitive salary, equity, medical coverage, and the opportunity to work on impactful real-world problems within an Alphabet-backed environment.

Matching Summary

Match Score: 85

X9 is seeking an Engineering Manager for Tapestry, an innovative project focused on transforming the electric grid using AI. The ideal candidate will have extensive experience in machine learning architecture and leadership, overseeing a team that develops advanced analytical tools for the energy sector.

Salary

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

Skills & Requirements

Must-have

  • Machine learning model development and deployment
  • LLM and agentic framework expertise
  • Deep learning frameworks TensorFlow PyTorch Jax
  • MLOps and model lifecycle management
  • Hands-on technical leadership and architecture

Nice-to-have

  • Experience in zero-to-one high-growth environments
  • Open-source ML contributions or top-tier publications
  • Passion for clean and affordable energy solutions
  • Collaboration with power systems experts

Key Requirements

  • Bachelor's or Master's in Computer Science or Engineering
  • 6+ years of deep experience in machine learning
  • Proven technical leadership or people management experience
  • Proficiency with AWS GCP or MS Azure platforms

Work Rights

Not specified

Tailored Resume

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