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Model Development Jobs in California (NOW HIRING)

XSITE LLC

Model Based Systems Engineer III

San Diego, CA · On-site

$147K - $195K/yr

Our core capabilities include AI/ML, Software Development & Sustainment, Systems Engineering (including MBSE), and Modeling & Simulation. Position Overview: We are seeking a Model Based Systems ...

XSITE LLC

Model Based Systems Engineer III

San Diego, CA · On-site

$147K - $195K/yr

Our core capabilities include AI/ML, Software Development & Sustainment, Systems Engineering (including MBSE), and Modeling & Simulation. Position Overview: We are seeking a Model Based Systems ...

XSITE LLC

Model Based Systems Engineer II

San Diego, CA · On-site

$111K - $141K/yr

Our core capabilities include AI/ML, Software Development & Sustainment, Systems Engineering (including MBSE), and Modeling & Simulation. Position Overview: We are seeking a Model Based Systems ...

Sunflower Bank, N.A.

Model Risk Analyst

Irvine, CA · On-site

$85K - $95K/yr

A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. * Familiarity with Excel, SQL, Python ...

Sunflower Bank NA

Model Risk Analyst

Irvine, CA · On-site

$85K - $95K/yr

A minimum of one year of experience in model development, model validation, quantitative risk management, or financial modeling and/or other related disciplines. * Familiarity with Excel, SQL, Python ...

BNY

Vice President, Model Risk Management

Los Angeles, CA · On-site +1

$129K - $179K/yr

The Bank of New York Mellon seeks Vice President, Model Risk Management II in Los Angeles, CA, to contribute to highly visible enterprise-wide model development function in the organization. Make ...

Salesforce, Inc.

Software Engineering LMTS

Palo Alto, CA · On-site

$114K - $156K/yr

This role requires hands-on involvement across the full model development lifecycle , in addition to technical leadership and mentorship. The ideal candidate is both a strong individual contributor ...

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Model Development information

What is the difference between Model Development vs Data Analysis?

AspectModel DevelopmentData Analysis
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentDeveloping predictive models, coding, testing algorithmsInterpreting data, generating reports, identifying trends
Industry UsageUsed in machine learning, AI, predictive analyticsUsed in business intelligence, reporting, data visualization

Model Development focuses on creating algorithms and predictive models using programming and statistical techniques, often in machine learning contexts. Data Analysis involves examining datasets to extract insights, generate reports, and support decision-making. While both roles require strong analytical skills, Model Development emphasizes building models, whereas Data Analysis centers on interpreting data and communicating findings.

What are typical challenges faced by professionals in Model Development roles, and how can they be addressed?

Model Development professionals often face challenges such as managing large and complex datasets, ensuring model accuracy and regulatory compliance, and effectively communicating technical findings to non-technical stakeholders. Addressing these challenges requires strong data management practices, staying updated with the latest industry regulations, and honing communication skills to translate complex results into actionable insights. Collaboration with cross-functional teams, such as data engineers and business analysts, is also key to successful model implementation and ongoing performance monitoring.

What jobs in the US pay 300,000 a year?

In the field of model development, senior roles such as lead data scientists, machine learning engineers, and quantitative researchers can earn $300,000 or more annually, especially with extensive experience, advanced skills in programming and statistical analysis, and work at large tech firms or financial institutions. These positions often require advanced degrees and expertise in AI, deep learning, or big data tools.

What are the key skills and qualifications needed to thrive in Model Development, and why are they important?

To thrive in Model Development, you need a strong background in statistics, mathematics, programming (often in Python or R), and a relevant degree such as in data science, economics, or computer science. Familiarity with machine learning frameworks, statistical modeling tools, and data visualization platforms is typically required, along with certifications like SAS or FRM being advantageous. Strong analytical thinking, attention to detail, and effective communication skills help professionals interpret data, validate models, and explain results to stakeholders. These skills ensure robust, compliant, and actionable models that drive sound business decisions.

What does a model developer do?

A model developer designs, builds, and tests mathematical or machine learning models to solve specific problems or make predictions. They often work with programming languages like Python or R, utilize data analysis tools, and ensure models are accurate and efficient for deployment in real-world applications.

What jobs will no longer exist in 2030?

By 2030, roles heavily reliant on manual or repetitive tasks, such as data entry clerks and certain assembly line positions, are expected to decline due to automation and AI advancements. Jobs requiring routine cognitive skills may also diminish as AI tools become more capable, while roles emphasizing complex problem-solving, creativity, and emotional intelligence are likely to persist.

What is model development?

Model development is the process of designing, building, testing, and refining mathematical, statistical, or machine learning models to solve specific business or research problems. These models are used to analyze data, make predictions, or automate decision-making. The process typically involves data collection, feature engineering, model selection, training, validation, and ongoing monitoring to ensure accuracy and relevance. Model developers often work in fields like finance, healthcare, and technology, where data-driven insights are crucial.

What is the highest paying model job?

In model development, senior roles such as Lead Data Scientist or Machine Learning Engineer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in programming, statistical analysis, and experience with tools like Python, TensorFlow, or PyTorch, and may involve leadership responsibilities and complex project management.
What are popular job titles related to Model Development jobs in California? For Model Development jobs in California, the most frequently searched job titles are:
What job categories do people searching Model Development jobs in California look for? The top searched job categories for Model Development jobs in California are:
Model Development jobs near you
Infographic showing various Model Development job openings in California as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Model Based Systems Engineer III

XSITE LLC

San Diego, CA • On-site

$147K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Position: Model Based Systems Engineer III
Level: Senior

Location: San Diego, CA

Telework: Hybrid remote/onsite, with typical set schedule at Government facility

Travel: <10%

Salary: $147,000-$195,000

XSITE LLC is looking for a Model Based Systems Engineer III to join our team in San Diego, CA to support the PMW/A 170 office/contract.


We are Service-Disabled Veteran-Owned company headquartered in San Diego. We provide full spectrum systems and systems-of-systems engineering and integration services and solutions for space, C5ISR, cyber and enterprise information systems. Our core capabilities include AI/ML, Software Development & Sustainment, Systems Engineering (including MBSE), and Modeling & Simulation.


Position Overview:

We are seeking a Model Based Systems Engineer III to support advanced systems engineering efforts through the application of Model Based Systems Engineering (MBSE) methodologies, tools, and digital engineering practices. In this role, you will develop and maintain system models, support architecture development and technical analysis, and collaborate with cross-functional teams to ensure models accurately represent system requirements, design, behavior, and interfaces. You will also contribute to work performed in collaborative MBSE/digital environments and support architecture products aligned with Department of Defense standards.


Responsibilities of this position include, but are not limited to:

  • Develop, maintain, and update Model Based Systems Engineering (MBSE) models and related engineering artifacts to support system requirements, design, analysis, integration, and verification activities.
  • Apply Systems Modeling Language (SysML) and/or Unified Modeling Language (UML) to create structured system models and technical products.
  • Support system architecture development using Department of Defense Architecture Framework (DoDAF) and/or Unified Architecture Framework (UAF) standards.
  • Collaborate with cross-functional engineering teams in cross-platform collaborative MBSE and digital engineering environments to ensure consistency, traceability, and technical alignment across model artifacts.
  • Analyze engineering data and technical information to support model development, system decomposition, interface definition, and technical decision-making.
  • Assist in the preparation of technical briefings, reports, and other engineering documentation related to MBSE and architecture development efforts.


Required Qualifications:

  • Master’s degree in Engineering, Operations Research, or another science discipline requiring the use of advanced mathematics skills, such as Business, Mathematics, Statistics, or Probability.
  • Ten (10) years of professional experience performing Model Based Systems Engineering.
  • Knowledge of Systems Modeling Language (SysML) and/or Unified Modeling Language (UML).
  • Experience working in cross-platform collaborative MBSE and/or digital engineering environments, or equivalent.
  • Knowledge of the Department of Defense Architecture Framework (DoDAF) and/or Unified Architecture Framework (UAF).
  • Secret Clearance or ability to obtain a secret clearance.

Why XSITE LLC?

Best-in-Class Benefits & Work–Life Balance

  • Industry leading PTO package, starting at 15+ days annually.
  • Seven (7) paid company holidays annually, including New Year’s Day, Memorial Day, Independence Day, Labor Day, Veterans Day, Thanksgiving Day, and Christmas Day.
  • 100% employer-paid employee coverage for Medical, Dental, Vision, and Basic Life Insurance. Employees enrolled in XSITE’s High Deductible Health Plan (HDHP) are also eligible for a Health Savings Account (HSA) with employer contributions.
  • Eligibility to participate in XSITE’s 401(k) retirement plan with up to a 6% employer match.
  • Eligibility to receive tuition reimbursement of up to $5,250 per year for job-related education.
  • University of San Diego Education Benefits of 10% tuition discount on select online degree programs and 25% discount on certificate programs.
  • Cell Phone Stipend.
  • Hybrid work environment.
  • As well as employee add on benefits offered via ADP.

Stability & Long-Term Growth

  • Prime contract holder with long-term stability
  • Mentor-Protégé JV partnership with a major defense company

Career Advancement

  • Rapid growth (300% YoY) with opportunities for leadership and upward mobility.