Senior Staff Machine Learning Engineer New Mountain View, CA (HQ), San Francisco, CA

Tapestry, Inc.; Mountain View (CA); On-site; USD 262,000 - 361,000; Full time

Benefits offered by this job

Salary + equity

Medical/Dental/Vision

Generous PTO

401(k)

Alphabet-backed environment

Job summary

Tapestry, Inc. seeks a foundational architect to guide multi-year ML strategy, bridging AI research, physics of continental-scale grids, and production ML systems across multimodal learning, agentic systems, and ML/AI operations.

You will design ML systems advancing grid planning, simulation, and asset intelligence at continental scale, mentoring engineers and shaping architectural standards for reliability and efficiency.

Qualifications

• Master's or PhD in CS/EE/Math or equivalent practical experience.
• 10+ years building, training and deploying large-scale ML systems in production with PyTorch/JAX/TF.
• Proven ability to architect systems handling massive datasets or compute-intensive workloads.
• Experience aligning stakeholders and mentoring senior technical leaders.
• Ability to think from first principles and apply structured judgment.
• Strong written and verbal communication across multidisciplinary audiences.

Responsibilities

• Own the technical roadmap and system architecture for intelligence engines across multimodal ML and geospatial data.
• Partner with ML leads, power systems scientists, software engineers, PMs, and partners to turn grid data into actionable insights.
• Mentor engineers and establish production standards, aligning stakeholders around architecture.
• Advance AI architectures spanning agentic AI, physics-informed ML, and NLU for energy challenges.
• Establish scalable patterns and standards to improve reliability and maintainability.
• Shape long-term ML strategy through first-principles thinking and rigorous analysis.

Skills

Machine learning

PyTorch

JAX

TensorFlow

Large-scale systems

Cross-disciplinary collaboration

First principles thinking

Technical leadership

Communication

Mentoring

Education

Master's/PhD in CS/EE/Math

Tools

PSS/E

GridLAB-D

MATPOWER

Job description

About Tapestry

Tapestry is a team within Alphabet working to build the AI-powered electric grid. We are tackling one of the world’s most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.

Originally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software, engineering, and product to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.

This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.

Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here .

About the role:

You will serve as a foundational architect of Tapestry’s multi-year machine learning strategy, bridging cutting-edge AI research, the physics of continental-scale power grids, and the development of production ML/AI systems across multimodal machine learning, agentic systems and ML/AI operations.You will architect machine learning systems that advance grid planning, simulation, and asset intelligence at continental scale.

How you will make 10X Impact

• Own the technical roadmap and system architecture for Tapestry’s intelligence engines, scaling models across multimodal machine learning, graph neural networks, geospatial and remote-sensing data, reinforcement learning for physical control systems, and multi-turn agentic systems.
• Partner closely with Tapestry’s machine learning technical leads, power systems scientists, software engineers, product managers, and global utility partners to translate complex, large-scale grid data into actionable insights that improve grid planning, operations, and maintenance.
• Serve as a technical force multiplier across the engineering organization by mentoring senior and staff-level engineers, establishing rigorous production standards, and aligning cross-functional stakeholders around architectural direction.
• Advance the application of state-of-the-art AI architectures spanning agentic AI, physics informed ML models, natural language understanding and geospatial intelligence to solve highly constrained energy-infrastructure challenges in production environments.
• Establish scalable architectural patterns and technical standards that improve the reliability, performance, and long-term maintainability of Tapestry’s machine learning systems.
• Shape long-term machine learning strategy through first-principles thinking, rigorous technical analysis, and clear decision-making across complex and evolving problem spaces.

What you should have...

• A Master’s degree or PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field, or equivalent practical experience.
• 10+ years of professional experience building, training, and deploying large-scale machine learning systems in production, with deep proficiency in modern frameworks such as PyTorch, JAX, or TensorFlow.
• A demonstrated track record of architecting systems capable of handling massive datasets or highly compute-intensive, parallel workloads.
• Experience collaborating across technical disciplines and functions, aligning stakeholders around complex architectural decisions, and mentoring senior technical leaders.
• The ability to think from first principles and apply structured technical judgment to complex, ambiguous problems spanning machine learning, physical systems, and production infrastructure.
• Strong written and verbal communication skills, with the ability to communicate complex technical concepts clearly across multidisciplinary audiences.

It’d be great if you also had one or more of these:

• Experience applying machine learning to physical, interconnected networks.
• 4+ years of professional experience working with grid modeling, simulation, state estimation, or power-system optimization, including familiarity with physical grid constraints, utility data structures, or spatiotemporal modeling for the grid.
• Familiarity with commercial grid-simulation software or numerical solvers, such as PSS®E, GridLAB-D, or MATPOWER, alongside scientific Python tools.
• A history of open-source contributions or peer-reviewed publications at leading AI conferences .
• Experience operating in a high-growth, or rapidly evolving technical environment.

Tapestry Values

• Take charge: We take initiative and own outcomes that move the mission forward.
• Transform with purpose: We build solutions that solve real problems and create meaningful impact.
• Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
• Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
• Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.

What we offer:

A culture that supports growth, ownership, and meaningful impact, along with…

• Competitive salary and equity
• Medical, dental, and vision coverage
• Generous PTO and flexible hybrid work model
• 401(k) with employer contribution
• The ability to work on important real-world problems within an Alphabet-backed environment

The US base salary range for this full-time position is $262,000 - $361,000 + 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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Tapestry ’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows.

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.