About Tapestry
Tapestry is Alphabet’s moonshot for the electric grid, working at the frontier where energy’s complexity meets AI’s potential. We were born at X, the innovation lab responsible for breakthrough technologies like Waymo, Verily and Google Brain.
To keep pace with humanity’s growing energy needs, the world needs a grid that is visible and understandable. We provide that clarity by building advanced, AI-enabled analytical and planning tools that allow the entire energy ecosystem to plan smarter, move faster, and operate more efficiently—ensuring electricity remains reliable and affordable for everyone.
This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New Zealand, Australia and Brazil as they build a cleaner, more resilient energy future.
Joining Tapestry allows you to do the best work of your life as part of a multidisciplinary team of experts in AI, energy systems, software engineering and product design—all collaborating to reshape energy on a global scale. If you want to tackle problems that matter and build tools with real impact, we would love to meet you. Learn more about our team and our mission here.
About the role
Your team will be responsible for designing, building, evaluating, and scaling Tapestry’s core multimodal machine learning models, spanning computer vision, text processing and physics-guided graph modeling. The models built will impact all of Tapestry’s product offerings. You will be expected to bring deep foundational knowledge of machine learning modeling and evaluations applied in an industry setting.
You will work closely with platform and infrastructure teams to go from prototypes to highly scalable production models.
How you will make 10X Impact
- Architect the Future: Lead the research, development and deployment of frontier ML techniques spanning Multimodal ML to solve the grid’s most pressing challenges and help build the electric grid of tomorrow
- Code-Level Leadership: Provide deep mentorship while staying hands-on. You’ll guide architecture, own high-stakes design reviews, and ensure production deployments are bulletproof, while working closely with other technical leads.
- Scale Without Friction: Partner with infra teams to build world-class ML pipelines that turn raw energy and grid data into actionable grid intelligence at Google scale.
- Bridge Physics & AI: Collaborate with Power Systems experts to ensure our AI strategy is grounded in physical reality, delivering 10X impact for global utility partners.
- Cross Functional Collaboration: Collaborate closely with data scientists, software engineering teams and non-technical stakeholders to evangelize machine learning advances across tapestry and communicate to high-level leadership.
What you should have:
- Bachelor’s or Master’s in Computer Science, Engineering or related quantitative field..
- 6+ years of deep experience in machine learning model development and deployment.
- Proven experience in a technical leadership or people management role, with a focus on guiding ML-centric teams.
- Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Jax/Flax.
- Experience with MLOps, model lifecycle management, and deploying models on enterprise platforms such as AWS, GCP or MS Azure.
- Excellent communication and collaboration skills, with the ability to translate complex ML concepts into understandable insights for diverse stakeholders.
It’d be great if you also had:
- PhD in Computer Science, Engineering or a related quantitative field.
- Experience in high-growth or "zero-to-one" environments, navigating rapidly changing requirements.
- A track record of contributions to open-source ML projects or publications in top-tier conferences.
- A passion for using ML to create a future with reliable, affordable and clean energy for everyone.
Our 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
- Professional development
- The ability to work on important real-world problems within an Alphabet-backed environment
Note: Tapestry is currently hiring for one Engineering Manager position on the ML team. We are open to candidates with either Multimodal ML or Agentic ML expertise, and this posting is one of two related postings associated with the same opening.
The US base salary range for this full-time position is $201,000 - $265,000 + 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.
Skills Required
- Bachelor's or Master's in Computer Science, Engineering or related quantitative field
- 6+ years of deep experience in machine learning model development and deployment
- Proven experience in a technical leadership or people management role
- Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or Jax/Flax
- Experience with MLOps, model lifecycle management, and deploying models on enterprise platforms
- Excellent communication and collaboration skills
X, The Moonshot Factory Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about X, The Moonshot Factory and has not been reviewed or approved by X, The Moonshot Factory.
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Fair & Transparent Compensation — Pay is considered competitive for core technical and senior roles, with employer-posted ranges and clear statements that total compensation includes base, bonus, equity, and benefits. Feedback suggests posted bands and explicit structure provide clarity on how pay is constructed.
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Parental & Family Support — Family support is described as generous, including paid parental leave, baby bonding, and transitional support for parents returning to work. Fertility treatments and maternity care are also covered, indicating depth in family-focused provisions.
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Retirement Support — Retirement programs include a 401(k) with a notable company match and immediate vesting of matched funds. Additional financial supports such as student loan reimbursement and coaching strengthen long-term financial security.
X, The Moonshot Factory Insights
What We Do
We create breakthrough technologies to help solve some of the world’s biggest problems. Born at Google, we got our start creating self-driving cars and smart glasses. Since then, we’ve continued to bring sci-fi ideas into reality.
