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Model Validation Remote Jobs in California (NOW HIRING)

Corvel

Data Scientist II

Irvine, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform model validation, testing, and documentation to ensure quality and reproducibility ... Remote

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Perform model validation, testing, and documentation to ensure quality and reproducibility ... Remote Equal Opportunity Employer This employer is required to notify all applicants of their ...

York Risk Services

Scrum Master - AI Delivery

Los Angeles, CA · On-site +1

$55.50 - $74/hr

... reviews, model validation processes, or cross-team dependencies, and work with Technology ... Ability to operate effectively within matrixed, multi-LOB enterprise structures #LI-TS1 #remote ...

MatX

Emulation Engineer

Mountain View, CA · On-site +1

$175K - $450K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... validation. We're looking for a multi-disciplinary engineer with an out-of-the-box, can-do mindset ... Bring up and debug large-scale models on commercial emulation platforms such as Cadence Palladium ...

YO AI Labs

SolidWorks Expert - Remote

San Francisco, CA · Remote

$40 - $130/hr

... model training. * Translate engineering requirements into structured CAD data suitable for AI learning and validation. * Collaborate remotely with cross-functional teams, providing clear written ...

YO AI Labs

SolidWorks Expert - Remote

Los Angeles, CA · Remote

$40 - $130/hr

... model training. * Translate engineering requirements into structured CAD data suitable for AI learning and validation. * Collaborate remotely with cross-functional teams, providing clear written ...

YO AI Labs

SolidWorks Expert - Remote

Palo Alto, CA · Remote

$40 - $130/hr

... model training. * Translate engineering requirements into structured CAD data suitable for AI learning and validation. * Collaborate remotely with cross-functional teams, providing clear written ...

YO AI Labs

SolidWorks Expert - Remote

San Jose, CA · Remote

$40 - $130/hr

... model training. * Translate engineering requirements into structured CAD data suitable for AI learning and validation. * Collaborate remotely with cross-functional teams, providing clear written ...

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All JobsModel Validation JobsModel Validation Remote JobsModel Validation Remote Jobs in California

Model Validation Remote information

What is the difference between Model Validation Remote vs Model Validation on-site?

AspectModel Validation RemoteModel Validation on-site
Work EnvironmentRemote, home-basedOn-site, office or client location
Required CredentialsSimilar certifications, e.g., CFA, FRM, or relatedSame as remote, often with additional in-person requirements
Industry UsageFinancial institutions, banks, asset managersSame industries, with in-person collaboration
Work FlexibilityHigh, flexible hours and locationLess flexible, fixed hours and location

Both remote and on-site model validation roles require similar credentials and industry knowledge. The main difference lies in the work environment and flexibility, with remote positions offering greater convenience and location independence, while on-site roles facilitate direct collaboration and immediate access to resources.

What are the key skills and qualifications needed to thrive as a model validation remote?

To thrive as a Model Validation Remote, you need a strong background in quantitative disciplines such as mathematics, statistics, or finance, typically supported by a relevant degree. Proficiency with statistical software (like SAS, R, or Python), model risk management frameworks, and familiarity with regulatory guidelines (such as SR 11-7) are commonly required. Analytical thinking, attention to detail, and strong written communication are crucial soft skills in this role. These skills ensure accurate model assessments, regulatory compliance, and effective communication of complex findings to stakeholders.

What is model validation in a remote job context?

Model validation, especially in a remote setting, involves evaluating and verifying the accuracy, performance, and reliability of statistical or machine learning models from a location outside of a traditional office. Professionals in this role typically assess whether models meet regulatory requirements, function as intended, and are free from biases or errors. Remote model validators use various tools and techniques to conduct tests, write reports, and communicate findings with stakeholders via digital platforms. This work is essential in sectors like finance, insurance, and tech, where robust models drive critical decisions. Successful remote model validation requires strong analytical skills, clear communication, and proficiency with data analysis tools.

What are some common challenges faced by professionals in remote model validation roles, and how can they be addressed?

Remote model validation professionals often encounter challenges such as maintaining clear communication with model developers and stakeholders, accessing secure data environments, and staying updated with evolving regulatory standards. To address these, it's important to leverage robust collaboration tools, schedule regular check-ins with cross-functional teams, and participate in ongoing training or knowledge-sharing sessions. Establishing clear documentation protocols and ensuring secure remote access to necessary data can also help maintain productivity and compliance.

What are the most commonly searched types of Model Validation jobs in California?

The most popular types of Model Validation jobs in California are:

What are popular job titles related to Model Validation Remote jobs in California?

For Model Validation Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Model Validation Remote jobs in California look for?

The top searched job categories for Model Validation Remote jobs in California are:

What cities in California are hiring for Model Validation Remote jobs?

Cities in California with the most Model Validation Remote job openings:

Model Validation Remote jobs near you
Infographic showing various Model Validation Remote job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Re-posted 18 days ago

Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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