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Software Engineering

Mountain View, CA (HQ)

About the team:

Tapestry is an energy intelligence company incubated at X, the Moonshot Factory, the innovation lab within Alphabet. We are building the intelligence layer for the future electric grid. Our mission is to make the grid visible, predictable, and optimized through advanced AI systems so clean and reliable energy is available for everyone.

The grid is one of the most important and complex systems in the world. It is under increasing pressure from electrification, renewable adoption, and climate-driven volatility. Tapestry creates the software and models that help utilities and grid operators understand what is happening, anticipate what is coming, and respond with confidence.

Our team brings together experts in AI, energy systems, software engineering, and product design. We operate with the agility of a young company supported by the technical rigor and resources in Alphabet’s ecosystem.

If you want to work on problems that matter and build tools with real impact, we would love to meet you.

About the role:

We're looking for a Senior Machine Learning Engineer to join our team. In this role, you will be responsible for developing and deploying state of the art machine learning models to solve complex challenges that face today’s electric grid. You’ll have the opportunity to lead model building and development across diverse ML domains such as time series analysis, planning and reinforcement learning, multi modal information retrieval and reasoning and agentic AI. In this role, you will be responsible for end to end ML model training and deployment, working with and mentoring junior machine learning engineers, helping lead cross-functional collaborations and build the state of the art machine learning models to help power the grid of tomorrow.

How you will make 10x impact:

+ Design, train, and deploy machine learning models in production environments.

+ Lead the end to end development of ML systems for one or more of planning and reinforcement learning, forecasting and multimodal machine learning

+ Actively collaborate with leaders in product, engineering, and data science teams to address key business problems

+ Mentor junior engineers and scientists and contribute to the team’s technical growth.

+ Stay abreast of the latest advancements in machine learning

What you should have:

+ Master’s Degree/Bachelor's Degree in Machine Learning, Computer Science, Statistics or equivalent practical experience.

+ 6+ years of professional experience in machine learning model development and engineering.

+ Deep expertise in one or more of the following areas: planning and control, reinforcement learning, forecasting, multimodal machine learning and information retrieval

+ Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow.

+ Experience with building and deploying ML systems at scale, and a proven ability to perform applied ML research and develop the state of the art

+ Proven ability to work on cross-functional projects and deliver results in a fast-paced, collaborative environment

It’d be great if you also had these:

+ PhD in Machine Learning, Computer Science, Statistics, or a related field

+ Experience with cloud platforms such as AWS, GCP, or Azure.

+ Familiarity with MLOps practices and tools.

+ A strong portfolio of projects demonstrating expertise in multiple ML domains..

The US base salary range for this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

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An Equal Opportunity Workplace

At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please contact us at

[email protected]

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