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Computational Modeling Intern Jobs in California

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

You will join the Bioresilience Incubator, a dynamic engineering center that integrates predictive computational modeling, machine learning, and experimental biology to advance national security and ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

You will join the Bioresilience Incubator, a dynamic engineering center that integrates predictive computational modeling, machine learning, and experimental biology to advance national security and ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA

You will join the Bioresilience Incubator, a dynamic engineering center that integrates predictive computational modeling, machine learning, and experimental biology to advance national security and ...

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

About the Role As a Research Intern , you will contribute to building the computational ... Implement and run computational experiments using PyTorch, adapting existing models or developing ...

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA · On-site

Depending on progress and interest, the intern may also help fine-tune LLM-based models using ... Infrastructures and computational resources to support your work. * Opportunity to work on cutting ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

Vision-Language-Action (VLA) models and foundation models are becoming increasingly important in ... Infrastructures and computational resources to support your work. * Opportunity to work on cutting ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

Vision-Language-Action (VLA) models and foundation models are becoming increasingly important in ... Infrastructures and computational resources to support your work. * Opportunity to work on cutting ...

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Computational Modeling Intern information

What are some common challenges faced by Computational Modeling Interns during their internship?

Computational Modeling Interns often encounter challenges such as adapting to complex simulation software and learning the specific coding standards used by their team. They may also need to balance multiple projects while ensuring the accuracy and reproducibility of their models. Collaboration with researchers and engineers is frequent, so strong communication skills are important to effectively interpret data and incorporate feedback. These challenges provide valuable learning opportunities and help interns develop a strong foundation for a future career in computational modeling.

What are the key skills and qualifications needed to thrive as a Computational Modeling Intern, and why are they important?

To thrive as a Computational Modeling Intern, you generally need a solid background in mathematics, physics, or engineering, along with proficiency in programming languages like Python or MATLAB. Familiarity with simulation software, data analysis tools, and version control systems such as Git is typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills help interns excel when interpreting results and collaborating with research teams. These skills and qualities are essential for efficiently developing, testing, and refining computational models that drive innovation and research progress.

What does a Computational Modeling Intern do?

A Computational Modeling Intern assists in developing and running computer-based simulations to analyze scientific, engineering, or business problems. They work with specialized software and programming languages to build models that predict outcomes, test hypotheses, or optimize processes. Interns often collaborate with experienced researchers or engineers, interpret simulation results, and help document findings. This role provides valuable hands-on experience with computational tools and methodologies used in various industries.

What is the difference between Computational Modeling Intern vs Data Analyst Intern?

AspectComputational Modeling InternData Analyst Intern
Required CredentialsUndergraduate or graduate in STEM, programming skillsUndergraduate or graduate in related field, analytical skills
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, tech firms, research institutions
Employer & Industry UsageResearch projects, product development, simulationsData analysis, reporting, decision support

Computational Modeling Interns focus on developing and applying computational models and simulations, often requiring programming and mathematical skills. Data Analyst Interns primarily analyze datasets to extract insights, supporting business decisions. While both roles involve data handling, the Modeling Intern emphasizes simulation and algorithm development, whereas the Data Analyst Intern concentrates on data interpretation and reporting.

What are the most commonly searched types of Computational Modeling jobs in California? The most popular types of Computational Modeling jobs in California are:
What are popular job titles related to Computational Modeling Intern jobs in California? For Computational Modeling Intern jobs in California, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Intern jobs in California look for? The top searched job categories for Computational Modeling Intern jobs in California are:
What cities in California are hiring for Computational Modeling Intern jobs? Cities in California with the most Computational Modeling Intern job openings:
Computational Modeling Intern jobs near you
Infographic showing various Computational Modeling Intern job openings in California as of July 2026, with employment types broken down into 2% Internship, 72% Full Time, 23% Part Time, 2% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution.

Fire Science Intern

Stand Insurance

San Francisco, CA • On-site

$30/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 6 days ago

Job description

Why Join Stand: At Stand, you'll help build a new class of global property protection. We use advanced physics and AI to model catastrophic risk at the asset level, then automate underwriting and mitigation before loss occurs. Insurance is simply the current delivery mechanism. The real product is a scalable risk engine, our Stand World Model.
We stay when traditional insurers exit. We model what others approximate. And we build systems that change outcomes, not just prices.
Our leadership team includes former successful founders and CEOs from Metromile, PolicyGenius, WePay, and HotelTonight, bringing deep experience in building and scaling high-growth companies.
Background: The property insurance industry is built to price loss after it happens. It relies on coarse proxies, backward-looking data, and manual processes, then accepts damage as unavoidable.
Stand takes a different approach. We simulate how real-world catastrophes affect individual properties, translate that into actionable decisions, and automate the business around it. The result is a platform that can underwrite what others can't and operate with far less friction.
About: Stand is a technology and insurance company reimagining how society assesses, mitigates, and adapts to catastrophic risk for homeowners. Our leadership team brings deep experience across insurance, technology, and climate science, having built significant market value at prior ventures.
Traditional insurance models often rely on broad exclusions, leaving many homeowners with limited or no viable coverage options. At Stand, we use deterministic, physics-based models and advanced analytics to deliver personalized risk assessments - empowering homeowners to secure coverage and take proactive, science-driven steps toward resilience.
Background: Most property insurers assess wildfire risk using broad proxies, backward-looking loss data, and simplified hazard scores. While sufficient for portfolio pricing, these tools break down at the property level-where homeowners need to understand what actually drives loss and what actions meaningfully reduce it.
Stand operates from first principles. We simulate fire behavior and structure exposure using deterministic, physics-based models, then validate those models against controlled fire experiments. The result is a shift from correlation-based pricing to a causal understanding of wildfire risk and mitigation effectiveness.
Experiments and simulation validation are, therefore, foundational to our work. Converting experimental results into clean, well-documented, simulation-ready datasets is critical to ensuring our models are accurate, trustworthy, and actionable for underwriting and mitigation decisions.
Location: Onsite in Jackson Square, San Francisco.
Compensation: $30/hr. Targeting 40/hrs a week. We do not cover relocation or lodging stipends.
Role Description: We're seeking a Fire Science Engineering Intern to support Stand's fire experimentation and simulation validation efforts. This role spans experiment design, execution, data processing, and numerical simulation tie-out.
You will help design and run controlled fire experiments, manage instrumentation and data capture, and convert raw experimental outputs into validation-ready datasets that directly support physics-based fire modeling.
This is an immersive, project-based internship designed for students or early-career engineers interested in fire science, experimental methods, and computational modeling-not a survey or observer role.
Core Responsibilities:
  • Design and support controlled fire experiments by defining test conditions, configurations, and instrumentation layouts
  • Operate experimental instrumentation, DAQ systems, and cameras during live fire tests to ensure complete and synchronized data capture
  • Troubleshoot sensor, DAQ, and timing issues under real test-day constraints
  • Process raw experimental outputs into clean, reproducible, validation-ready datasets using repeatable workflows
  • Support numerical simulations and perform experimental-simulation comparisons for fire model validation
  • Maintain clear run logs, data documentation, and experimental runbooks to ensure repeatability and knowledge transfer

Must-Have Skills:
  • Hands-on experience setting up and operating experimental instrumentation and DAQ systems
  • Familiarity with fire-related experiments and strong laboratory safety discipline
  • Experience operating sensors or diagnostics and aligning multi-channel data in time
  • Proficiency in time-series data processing, visualization, and basic data quality checks
  • Strong documentation habits, including run logs, data notes, and clear technical summaries
  • Ability to work independently and troubleshoot issues during live experiments

Nice-to-Have Skills:
  • Experience with CFD / fire modeling tools
  • Familiarity with experimental validation of numerical or physics-based models
  • Experience working in test-day or field-like experimental environments under time pressure

What You'll Gain:
  • Hands-on experience designing and executing real fire experiments from setup through analysis
  • Exposure to fire modeling and experimental validation workflows used in production systems
  • Ownership over experimental data that directly supports physics-based wildfire risk models
  • Close mentorship from experienced fire science and modeling engineers
  • Insight into how fire science translates into real underwriting, mitigation, and product decisions

Benefits:
  • Above-market Health, Dental, and Vision coverage
  • Weekly lunch stipend
  • Flexible time off + holidays
  • 401(k) plan
  • Commuter benefits
  • PAT & MAT Leave
  • Short-Term and Long-Term Disability
  • Monthly team gatherings
  • In-office perks

Work Authorization
Candidates must be authorized to work in the U.S. Stand does not sponsor new work visas. We can consider candidates on TN visas, O-1A visas, or H-1B transfers with three years or more remaining.
Equal Opportunity Employment
Stand is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We believe that diversity enriches the workplace, and we are committed to growing our team with the most talented and passionate people from every community.
We are committed to providing reasonable accommodations for qualified individuals. If you require assistance
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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