Machine Learning Devops Engineer (AI)

TL;DR

Machine Learning Devops Engineer (AI): Building and deploying state-of-the-art machine learning models to solve complex challenges in the electric grid with an accent on multimodal machine learning, information retrieval, natural language processing and agentic AI. Focus on operationalizing ML model training and serving at enterprise scale.

Location: Must be located in Mountain View, CA (HQ)

Salary: $166,000 - $244,000 + bonus + equity + benefits

Company

X, Alphabet’s Moonshot Factory, is transforming how the world makes, moves and uses electricity, using AI to reshape energy on a global scale.

What you will do

• Train and deploy machine learning models in production environments.
• Work with senior team members to develop enterprise quality ML systems, spanning multiple ML domains.
• Operationalize ML model training at serving at enterprise scale.
• Stay abreast of the latest advancements in machine learning.

Requirements

• Master’s Degree/Bachelor's Degree in Machine Learning, Computer Science, Statistics or related field.
• Experience in machine learning model development and engineering.
• Expertise in one or more of the following areas: multimodal machine learning NLP or agentic AI, planning, control and reinforcement learning.
• Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.
• Experience with building and deploying ML systems at scale, OR a proven ability to perform applied ML research and develop the state of the art in an academic setting.

Nice to have

• Familiarity with MLOps practices and tools.
• PhD in Machine Learning, Computer Science, Statistics, or a related field.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• A strong portfolio of projects demonstrating ML expertise.

Culture & Benefits

• Culture that supports growth, ownership, and meaningful impact.
• Competitive salary and equity.
• Medical, dental, and vision coverage.
• Generous PTO and flexible hybrid work model.
• 401(k) with employer contribution.
• Professional development.