ML Engineer: MLOps for AI Grid Innovation

NLP PEOPLE; Mountain View (CA); On-site; USD 166,000 - 244,000; Full time

Benefits offered by this job

Competitive salary and equity

Medical, dental, and vision coverage

Generous PTO and hybrid work model

401(k) with employer contribution

Job summary

X, The Moonshot Factory in the United States is seeking an early-career ML engineer to design and deploy state-of-the-art models for the electric grid. You will collaborate with ML engineers, data scientists and software engineers across multimodal ML domains.

The role emphasizes building scalable CI/CD, deploying on Vertex AI and GKE, containerizing training, and connecting research to production within a dynamic Alphabet-backed environment.

Qualifications

• Master’s or Bachelor’s degree in Computer Science, Engineering or related field.
• 3+ years of software engineering, DevOps or data engineering, with 1–2 years in MLOps or ML infra.
• Strong Python and Docker, plus cloud experience (GCP, AWS or Azure).

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML workflows.
• Deploy ML models to production environments (Vertex AI, GKE) emphasizing scalability and availability.
• Containerize training code (Docker) and bridge experimentation with production.
• Collaborate with researchers and data scientists to optimize ML pipelines.

Skills

Python

Docker

GCP

Vertex AI

TensorFlow/PyTorch

Education

Master's or Bachelor's in CS/Engineering

Tools

Kubeflow

Terraform

Git/CI-CD

Job description

X, The Moonshot Factory in the United States is seeking an early-career ML engineer to design and deploy state-of-the-art models for the electric grid. You will collaborate with ML engineers, data scientists and software engineers across multimodal ML domains.

The role emphasizes building scalable CI/CD, deploying on Vertex AI and GKE, containerizing training, and connecting research to production within a dynamic Alphabet-backed environment.