ML Engineer for AI-Powered Grid (Hybrid, Equity)

Tapestry; Mountain View (CA); Hybrid; USD 166,000 - 244,000; Full time

Benefits offered by this job

Competitive salary

Equity

Medical, dental, and vision coverage

Generous PTO

Flexible hybrid work model

401(k) with employer contribution

Professional development

Alphabet-backed environment

Job summary

Tapestry is hiring an early-career Machine Learning Engineer to build and deploy state-of-the-art models for the AI-powered electric grid. You will collaborate with ML engineers, data scientists, and software engineers across multimodal ML, NLP and agentic AI domains.

You will train and deploy models in production, contribute to scalable ML pipelines, and stay current with the latest advances in AI research and engineering.

Qualifications

• Degree in ML, CS, Statistics or related field.
• Experience developing and engineering ML models.
• Expertise in multimodal ML, NLP or agentic AI, planning, control and reinforcement learning.
• Strong Python programming and experience with PyTorch or TensorFlow.
• Experience deploying ML systems at scale or performing advanced ML research.

Responsibilities

• Train and deploy ML models in production.
• Develop enterprise-quality ML systems across multiple domains.
• Operationalize ML training and serving at scale.
• Stay updated with current ML advancements.

Skills

Python programming

ML frameworks

Education

Master’s/Bachelor’s in ML/CS/Statistics

Tools

PyTorch

TensorFlow

Job description

Tapestry is hiring an early-career Machine Learning Engineer to build and deploy state-of-the-art models for the AI-powered electric grid. You will collaborate with ML engineers, data scientists, and software engineers across multimodal ML, NLP and agentic AI domains.

You will train and deploy models in production, contribute to scalable ML pipelines, and stay current with the latest advances in AI research and engineering.