Loon · 15 hours ago
2026 PhD Residency, Machine Learning for Grid Simulations (Tapestry)
Mountain View, CA
Full-time
Onsite
New Grad
$109K/yr - $150K/yrLoon's Tapestry is seeking a PhD resident focused on advancing machine-learning-driven approaches for power grid simulations. The role involves developing machine learning models to enhance the speed and accuracy of grid simulations and collaborating with experts to integrate these techniques into existing workflows.
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Responsibilities
Accelerate grid simulations by developing machine learning models that reduce computational cost while preserving physical accuracy
Advance state-of-the-art ML methods for modeling complex grid components, building on and improving existing simulation baselines
Partner with power system experts to integrate ML techniques directly into simulation workflows used for planning, reliability analysis, and outage prevention
Improve numerical stability and performance of transient simulations by applying physics-informed and data-driven modeling approaches
Deliver production-ready research outputs that strengthen core simulation technology and influence future product direction
Qualification
Required
Currently enrolled in a PhD program (or exceptional MS) in a STEM field such as Computer Science, Electrical Engineering, Computer Engineering, Physics, Mathematics, or a related discipline
Strong foundation in machine learning concepts and methods
Experience with one or more general-purpose programming languages (e.g., Python, C/C++, Java)
Interest in or exposure to power systems, power electronics, or numerical simulations
Ability to work independently on research-driven problems and collaborate across disciplines
Preferred
Experience with physics-informed machine learning or scientific ML
Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow, JAX)
Background in scientific computing or numerical methods
Prior work on simulation-heavy or computationally intensive systems
Benefits
Medical, dental, and vision coverage
Competitive residency stipend and housing relocation support for the duration of the program.
Direct mentorship from industry-leading research scientists and engineers.
Opportunity to work on "moonshot" problems with access to Alphabet-scale compute and resources.
Company
Loon
Loon is a network of high altitude balloons used to provide stable internet coverage on the ground. It is a sub-organization of Alphabet.
Founded in 2011
51-200 employees
H1B Sponsorship
Loon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (9)
2020 (12)
Funding
Current Stage
Growth StageTotal Funding
$125MKey Investors
HAPSMobile
2019-04-25Undisclosed· $125M
Recent News
2025-10-31
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