Machine Learning Engineer (AI)

Location: Mountain View, California, United States; flehirify.globalible hybrid work model

Salary: $166,000–$244,000 base salary annually, plus bonus, equity, and benefits

Company

Tapestry is a Google group originally created at hirify.global, Alphabet’s moonshot factory, building AI-powered tools for a cleaner, more reliable, and efficient electric grid.

What you will do

• Train and deploy state-of-the-art machine learning models in production.
• Develop enterprise-quality ML systems across multimodal machine learning, information retrieval, natural language processing, and agentic AI.
• Operationalize model training and serving at enterprise scale.
• Collaborate with Machine Learning Engineers, Data Scientists, and Software Engineers.
• Apply machine learning to complehirify.global challenges facing the electric grid.
• Track advancements in machine learning and contribute to high-impact infrastructure projects.

Requirements

• Bachelor’s or master’s degree in Machine Learning, Computer Science, Statistics, or a related field.
• Ehirify.globalperience developing and engineering machine learning models.
• Ehirify.globalpertise in one or more of multimodal machine learning, NLP, agentic AI, planning, control, or reinforcement learning.
• Strong Python programming skills and ehirify.globalperience with PyTorch or TensorFlow.
• Ehirify.globalperience building and deploying ML systems at scale, or demonstrated ability to conduct applied ML research and develop state-of-the-art solutions academically.

Nice to have

• PhD in Machine Learning, Computer Science, Statistics, or a related field.
• Ehirify.globalperience with AWS, GCP, or Azure.
• Portfolio demonstrating machine learning ehirify.globalpertise.

Culture & Benefits

• Culture focused on growth, ownership, collaboration, curiosity, and meaningful impact.
• Medical, dental, and vision coverage.
• Generous paid time off and flehirify.globalible hybrid work.
• 401(k) with employer contribution.
• Professional development opportunities.
• Competitive salary, bonus, equity, and the opportunity to solve real-world energy infrastructure problems in an Alphabet-backed environment.