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Generative Ai Insurance Jobs in California (NOW HIRING)

Socket.dev

Senior Applied AI Engineer

San Francisco, CA Ā· On-site

$180 - $240/hr

  • Medical

Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product ... Private health insurance, including plan options at no cost to employees * Paid parental leave

Esri

Sr. Generative AI Software Developer

Redlands, CA Ā· On-site

$123K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you are passionate about geospatial technologies, AI-driven data quality management, and ... life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum ...

Vagaro

Jr. AI Engineer

Pleasanton, CA Ā· On-site

$110K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate is eager to learn, has a strong foundation in generative AI, machine learning ... Financial Security: 401k program with 4% matching and optional life/supplemental insurance. * Stay ...

Front

Senior Applied AI Engineer

San Francisco, CA Ā· On-site

$140 - $210/hr

  • Medical

Design, develop, and deploy generative AI applications using NodeJS & TS that enhance product ... Private health insurance, including plan options at no cost to employees * Paid parental leave

Esri

Sr. Generative AI Software Developer

Redlands, CA Ā· On-site

$123K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you are passionate about geospatial technologies, AI-driven data quality management, and ... life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum ...

Vagaro

Jr. AI Engineer

Pleasanton, CA Ā· On-site

$110K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The ideal candidate is eager to learn, has a strong foundation in generative AI, machine learning ... Financial Security: 401k program with 4% matching and optional life/supplemental insurance. * Stay ...

Amazon

Applied Scientist (GenAI/LLM), Sandstone

San Diego, CA Ā· On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are building foundational behavioral models for Amazon Stores using Generative AI, LLMs and ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Spellbrush

AI Infrastructure Engineer

San Francisco, CA Ā· On-site

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

Spellbrush, the world's leading generative AI studio behind niji惻journey , is looking for an AI ... dental, and vision insurance, and additional perks! At Spellbrush, we value creativity ...

Spellbrush

AI Infrastructure Engineer

San Francisco, CA Ā· On-site

$126K - $166K/yr

  • Medical

  • Dental

  • Vision

Spellbrush, the world's leading generative AI studio behind niji惻journey , is looking for an AI ... dental, and vision insurance, and additional perks! At Spellbrush, we value creativity ...

Amazon

Applied Scientist (GenAI/LLM), Sandstone

San Diego, CA Ā· On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are building foundational behavioral models for Amazon Stores using Generative AI, LLMs and ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

United Airlines

Data Scientist/ AI Engineer

San Francisco, CA Ā· On-site

$90K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Key Responsibilities Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

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Showing results 21-40

All JobsGenerative Ai Insurance JobsGenerative Ai Insurance Jobs in California

Generative Ai Insurance information

What is a Generative AI Insurance professional?

A Generative AI Insurance professional specializes in developing, managing, or implementing generative artificial intelligence solutions within the insurance industry. This role involves using advanced AI models to automate processes such as underwriting, claims processing, risk assessment, and customer service. These professionals work to optimize operations and improve decision-making by leveraging machine learning and data analysis. They also help ensure that AI-driven tools comply with regulatory standards and ethical guidelines.

How does a role in Generative AI Insurance typically collaborate with underwriters and data scientists?

Professionals in Generative AI Insurance often work closely with underwriters to analyze risk profiles and automate policy generation using advanced AI models. Collaboration with data scientists is also essential, as they help develop, test, and refine algorithms that can accurately assess claims, detect fraud, and personalize insurance offerings. This cross-functional teamwork ensures that AI solutions are both technically robust and aligned with industry regulations and business goals, providing opportunities to learn from various experts and contribute to innovative insurance products.

What are the key skills and qualifications needed to thrive as a Generative AI Insurance specialist, and why are they important?

To thrive as a Generative AI Insurance Specialist, you need expertise in data analysis, machine learning, and a solid understanding of insurance products and risk assessment, usually backed by a degree in data science, actuarial science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), insurance-specific analytics platforms, and relevant certifications like CPCU or data science credentials are typically required. Strong problem-solving, communication, and adaptability skills help bridge technical solutions with business needs and client expectations. These competencies ensure innovative, accurate risk modeling and effective implementation of AI solutions within the insurance sector.

What is the difference between Generative Ai Insurance vs Data Scientist?

AspectGenerative Ai InsuranceData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, insurance policies, and data analysisRequires degrees in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentInsurance companies, AI firms, or tech departments within insurersTech companies, financial institutions, or insurance firms
Industry UsageDevelops AI models to automate insurance underwriting, claims, and risk assessmentAnalyzes data to extract insights, build predictive models, and inform business decisions

Generative Ai Insurance professionals focus on creating AI systems that generate content or automate insurance processes, while Data Scientists analyze data to inform strategies. Both roles require technical skills but differ in application and industry focus.

What job categories do people searching Generative Ai Insurance jobs in California look for?

The top searched job categories for Generative Ai Insurance jobs in California are:

What cities in California are hiring for Generative Ai Insurance jobs?

Cities in California with the most Generative Ai Insurance job openings:

Generative Ai Insurance jobs near you
Infographic showing various Generative Ai Insurance job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Postdoctoral Researcher, Real-Time Generative AI for Automotive XR

Toyota Research Institute

Los Altos, CA

$152K - $218K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago

Job description

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.


The Mission

Our team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI.

The Team

In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence.

The Opportunity

We are seeking a Postdoctoral Researcher for a research project exploring next-generation extended reality (XR) experiences for vehicles. The project investigates how generative AI and real-time video processing can enable new forms of visual augmentation and interaction between drivers and their environment. This role is intended for a researcher who can take ownership of core technical directions, drive implementation and evaluation, and coordinate closely with collaborators to deliver high-quality research outcomes.

This year-long postdoctoral research position will be highly integrated into the Human-Machine Interaction Research (HMIR) team at TRI. Please note that this opportunity will be an in-office role based in Los Altos, CA, and includes multiple trips to test tracks.

Responsibilities
  • Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field.
  • Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR).
  • Strong foundation in machine learning, especially in computer vision.
  • Extensive hands-on experience with image/video generative models.
  • Strong programming skills in Python; experience with Linux-based development.
  • Proven ability to lead research projects to publication-quality outcomes.
Qualifications
  • Ph.D. in Machine Learning, Computer Science, Electrical Engineering, or a related field.
  • Track record of publications in top-tier venues (e.g. CVPR, ICCV, NeurIPS, ICML, ICLR).
  • Strong foundation in machine learning, especially in computer vision.
  • Extensive hands-on experience with image/video generative models.
  • Strong programming skills in Python; experience with Linux-based development.
  • Proven ability to lead research projects to publication-quality outcomes.
Bonus Qualifications
  • Experience in real-time or resource-constrained ML systems.
  • Experience with GPU acceleration, profiling, or low-level optimization.
The pay range for this position at commencement of employment is expected to be between $152,000 and $218,500/year for California-based roles. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

Please reference thisĀ Candidate Privacy NoticeĀ to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
Ā 
TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.
Ā 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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