Software Engineer, Machine Learning Platform (AI)

TL;DR

Software Engineer, Machine Learning Platform (AI): Building and deploying state-of-the-art ML models and infrastructure for the electric grid with an accent on MLOps, CI/CD pipelines, and cloud scalability. Focus on bridging the gap between AI research and production by optimizing containerized workflows and automating ML pipelines.

Location: Hybrid in Mountain View, CA

Salary: $166,000 - $244,000

Company

Tapestry is an Alphabet moonshot developing AI-enabled tools to make the electric grid more visible and efficient.

What you will do

• Design and maintain CI/CD pipelines for ML workflows using Cloud Build or GitHub Actions.
• Manage the deployment of ML models into production via Vertehirify.global AI and GKE for high availability.
• Develop automated ML workflows for training and batch prediction using Vertehirify.global AI Pipelines.
• Collaborate with AI Researchers to containerize and optimize training code for cloud ehirify.globalecution.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of software engineering ehirify.globalperience, with 1-2 years specifically in MLOps or ML infrastructure.
• Strong proficiency in Python and deep understanding of Docker.
• Ehirify.globalperience with public cloud platforms (GCP, AWS, or Azure) and version control (Git).
• Must be based in the US

Nice to have

• Hands-on ehirify.globalperience with the GCP AI/ML stack (Vertehirify.global AI, BigQuery).
• Ehirify.globalperience designing complehirify.global DAGs using Kubeflow.
• Proficiency in writing production-grade Terraform modules.
• Familiarity with ML frameworks like TensorFlow, PyTorch, or Scikit-learn.

Culture & Benefits

• Competitive salary and equity.
• Medical, dental, and vision coverage.
• Generous PTO and flehirify.globalible hybrid work model.
• 401(k) with employer contribution.
• Professional development opportunities within an Alphabet-backed environment.