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Insurance Modeling Jobs in Santa Clara, CA (NOW HIRING)

System One

BIM Modeler

San Jose, CA · On-site

$60K - $95K/yr

Electrical BIM Modeler Location: San Jose, CA & Sacramento, CA Experience: Minimum 1 Year ... Health, dental, and vision insurance. * 401(k) with company match. * Paid time off and company ...

Southland Industries

Modeling Coordinator

Union City, CA · On-site

$81K - $95K/yr

Term life, AD&D insurance, and voluntary life insurance * Disability income protection insurance * Pre-tax flexible spending plans (health and dependent care) * Paid parental leave * Paid holidays ...

System One Holdings, LLC

BIM Modeler

San Jose, CA · On-site

$60K - $95K/yr

Electrical BIM Modeler Location: San Jose, CA & Sacramento, CA Experience: Minimum 1 Year ... Health, dental, and vision insurance. * 401(k) with company match. * Paid time off and company ...

System One

BIM Modeler

San Jose, CA · On-site

$60K - $95K/yr

Electrical BIM Modeler Location: San Jose, CA & Sacramento, CA Experience: Minimum 1 Year ... Health, dental, and vision insurance. * 401(k) with company match. * Paid time off and company ...

System One

BIM Modeler

San Jose, CA · On-site

$60K - $95K/yr

Electrical BIM Modeler Location: San Jose, CA & Sacramento, CA Experience: Minimum 1 Year ... Health, dental, and vision insurance. * 401(k) with company match. * Paid time off and company ...

System One

BIM Modeler

San Jose, CA · On-site

$60K - $95K/yr

Electrical BIM Modeler Location: San Jose, CA & Sacramento, CA Experience: Minimum 1 Year ... Health, dental, and vision insurance. * 401(k) with company match. * Paid time off and company ...

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All JobsInsurance Modeling JobsInsurance Modeling Jobs in Santa Clara, CA

Insurance Modeling information

What is the difference between Insurance Modeling vs Actuarial Analyst?

AspectInsurance ModelingActuarial Analyst
Required CredentialsOften requires proficiency in Excel, VBA, SQL, and insurance-specific software; certifications like CPCU or FCAS are beneficialTypically requires actuarial exams, a degree in mathematics or statistics, and actuarial certifications (SOA, CAS)
Work EnvironmentFinancial institutions, insurance companies, consulting firms; focus on model development and data analysisInsurance companies, consulting firms; focus on risk assessment and valuation
Industry UsageUsed for pricing, reserving, and risk modeling in insurance productsUsed for reserving, pricing, and risk analysis, often involving regulatory compliance

Insurance Modeling and Actuarial Analyst roles share overlapping skills in data analysis and insurance knowledge. However, Insurance Modeling emphasizes building and maintaining financial models using software tools, while Actuarial Analysts focus on applying mathematical and statistical methods to assess risk and determine pricing. Both roles are vital in the insurance industry but differ in certification requirements and daily tasks.

What are popular job titles related to Insurance Modeling jobs in Santa Clara, CA?

For Insurance Modeling jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Insurance Modeling jobs in Santa Clara, CA look for?

The top searched job categories for Insurance Modeling jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Insurance Modeling jobs?

Cities near Santa Clara, CA with the most Insurance Modeling job openings:

Insurance Modeling jobs near you
Infographic showing various Insurance Modeling job openings in Santa Clara, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Research Scientist - World Modeling

Institute of Foundation Models

Sunnyvale, CA • On-site

$150K - $450K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you'll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
The Role
We are the AllWorld Team under the Institute of Foundation Model (IFM) at MBZUAI. At AllWorld, we are pioneering the development of the PAN (Physical, Agentic, and Networked) world models-the next-generation foundation models to unlock machine intelligence beyond lingual.
Our mission is to tackle the fundamental challenges of world modeling and establish a new paradigm for next-generation machine reasoning. We are looking for passionate individuals who share our vision and are eager to push the boundaries of AI together.
Key Responsibilities
  • Develop the foundational world model to accurately simulate the physical world.
  • Collaborate with engineering and data teams to tackle key challenges in training the world model on large-scale clusters.
  • Develop metrics and evaluation benchmarks to better assess model performance.
  • Design and implement a scalable and efficient data annotation pipeline to ensure high-quality labeled data for training and evaluation.
  • Optimize inference efficiency to enable real-time interaction.

Areas of Focus
  • Scalable Training Systems: Develop and optimize infrastructure for training multimodal LLMs and video diffusion models at massive scale.
  • Efficient Data Pipelines: Build scalable video data pipelines and annotation frameworks to support high-quality training data.
  • Inference Optimization: Enhance inference efficiency through optimization and distillation techniques to enable real-time interaction.
  • Visual Tokenization: Develop methods for discretizing visual features into tokens for improved model representation.
  • Quantitative Evaluation: Establish rigorous benchmarks to assess physical accuracy, controllability, and intelligence.
  • Scaling Laws for Video Pretraining: Investigate scaling law principles to guide efficient video pre-training strategies.

Academic Qualifications
  • MSc or PhD in Machine Learning or Computer Science, or equivalent industry experience.

Professional Experience
  • Experience in large-scale model training (LLMs or Diffusion Models) on large clusters.
  • Hands-on experience with state-of-the-art video generative models (e.g., Sora, Veo2, MovieGen, CogVideoX, etc.).
  • Experiences in building and optimizing large-scale video data pipelines.
  • Experience in accelerating diffusion model inference for improved efficiency.
  • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges.
  • Strong systems and engineering expertise in deep learning frameworks such as PyTorch.
  • Strong communication and collaboration skills for effective cross-functional teamwork.
  • Ability to navigate ambiguity and drive projects in rapidly evolving research areas.
  • Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains.

$150,000 - $450,000 a year
Visa Sponsorship
This position is eligible for visa sponsorship.
Benefits Include
*Comprehensive medical, dental, and vision benefits
*Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability

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