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Internship Model Validation Jobs (NOW HIRING)

Marvell

Principal Validation Engineer

Santa Clara, CA · On-site

Knowledge in SERDES modeling techniques Working experience with Python. Expected Base Pay Range ... every stage - from internship to retirement and through life's most important moments. Our ...

Intel

GPU Validation Engineer

Folsom, CA · On-site

Define and execute verification plans, running system simulation models to identify bugs, analyze ... internship experience. Minimum Qualifications: * Bachelor's degree in Electronics, Computer ...

Intel

GPU Validation Engineer

Santa Clara, CA · On-site

Define and execute verification plans, running system simulation models to identify bugs, analyze ... internship experience. Minimum Qualifications: * Bachelor's degree in Electronics, Computer ...

Steel Dynamics, Inc.

Accounting Internship

Huntington, WV

$15.50 - $19.75/hr

Operating through a circular manufacturing model, the company manufactures a wide range of steel ... Contribute to internal and external audits by validating compliance, inventory levels, and internal ...

Steel Dynamics, Inc.

Accounting Internship

Huntington, WV · On-site

$15.50 - $19.75/hr

Operating through a circular manufacturing model, the company manufactures a wide range of steel ... Contribute to internal and external audits by validating compliance, inventory levels, and internal ...

Safe Place For Youth

CRCD Internship

Venice, CA · On-site

Use a harm reduction, trauma-informed, housing-first model when working with youth. * Actively ... This is required. * Valid Driver's License or State ID is required. * Active listener; uses ...

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Internship Model Validation information

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How much do internship model validation jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for internship model validation in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What is an Internship in Model Validation?

An Internship in Model Validation is a temporary position, usually for students or recent graduates, where you assist in reviewing and testing financial or statistical models used by organizations. Interns help ensure these models are accurate, reliable, and compliant with regulations. Tasks often include analyzing data, running simulations, and documenting findings under the supervision of experienced model validators. It's an excellent way to gain hands-on experience in quantitative finance, risk management, or data science. These internships are valuable for building technical and analytical skills relevant to careers in finance, banking, or consulting.

What is the difference between Internship Model Validation vs Data Analyst?

AspectInternship Model ValidationData Analyst
Required CredentialsTypically pursuing or recent graduate in finance, economics, or related fieldsBachelor's degree in statistics, mathematics, or related field; certifications optional
Work EnvironmentInternship setting within financial institutions or banks, supervised by senior staffOffice-based, analyzing data sets, creating reports, often in various industries
Employer & Industry UsageUsed in banking, finance, and risk management for model validation tasksUsed across industries for data analysis, reporting, and decision support

Internship Model Validation focuses on assessing the accuracy and compliance of financial models during an internship, often within banking or finance sectors. Data Analysts perform broader data interpretation and reporting tasks across industries. While both roles involve data skills, Model Validation internships emphasize financial model testing, whereas Data Analysts handle diverse data analysis functions.

What types of projects or tasks can I expect to work on during an Internship in Model Validation?

As an intern in model validation, you will typically assist in evaluating and testing financial or statistical models to ensure their accuracy and compliance with regulatory standards. Your daily tasks may include reviewing model documentation, running validation tests, analyzing model outputs, and preparing reports for senior analysts. You'll often collaborate with model developers, risk managers, and other stakeholders to discuss findings and suggest improvements. This hands-on experience provides valuable exposure to quantitative methods, regulatory frameworks, and cross-functional teamwork within the financial industry.

What are the key skills and qualifications needed to thrive as an Internship Model Validation, and why are they important?

To thrive in a Model Validation Internship, you need a solid foundation in quantitative disciplines such as mathematics, statistics, finance, or computer science, often supported by progress toward a relevant degree. Familiarity with statistical software or programming languages like Python, R, or MATLAB, and knowledge of financial modeling systems, is highly valuable. Strong analytical thinking, attention to detail, and clear communication skills set standout candidates apart. These skills and qualities are crucial for accurately assessing model performance, ensuring compliance, and effectively presenting findings to technical and non-technical stakeholders.
More about Internship Model Validation jobs
What are the most commonly searched types of Model Validation jobs? The most popular types of Model Validation jobs are:
What states have the most Internship Model Validation jobs? States with the most job openings for Internship Model Validation jobs include:
What job categories do people searching Internship Model Validation jobs look for? The top searched job categories for Internship Model Validation jobs are:
Internship Model Validation jobs near you
Infographic showing various Internship Model Validation job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $108,152 per year, or $52 per hour.
Hardware and Silicon Validation

Hardware and Silicon Validation

Marvell Technology

Westlake Village, CA • On-site

Full-time

Life, Retirement

Re-posted 18 days ago

Job description

About Marvell
Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
Your Team, Your Impact
The Data Center Engineering (DCE) group in Westlake Village is responsible for post-silicon design validation of broadband analog amplifiers, analog validation of DSP products, high-speed device modeling, integrated optics and Silicon Photonics design validation.
The qualified candidate will work with a team of energetic, technically strong, multi-disciplined engineers to develop and validate broadband analog amplifiers, integrated optics and Silicon Photonics components, high-speed optical communication systems, and related subsystems that enable next-generation communication infrastructure.
The successful candidate will be part of the Sub system Development team, contributing to system board-level hardware design, software scripting and automation, and test and validation of Marvell's communication integrated circuits (ICs), Silicon Photonics devices, and subsystem solutions. The role provides opportunities to broaden technical depth, expand system-level responsibility, and grow across a wide range of engineering disciplines over time.
What You Can Expect
  • Perform hands-on silicon bring-up and post-silicon debug activities across analog, mixed-signal, and high-speed designs.
  • Work cross-functionally with silicon design, system development, marketing, and test engineering teams to support validation objectives.
  • Collaborate closely with designers to debug, analyze, document, and resolve issues identified during validation, including root-cause analysis and closure tracking.
  • Mentor and support new and/or less experienced team members through technical guidance and knowledge sharing.
  • Identify validation coverage gaps and define, develop, and execute validation tests as required.
  • Propose and evaluate innovative validation methodologies and metrology to improve overall validation efficiency and effectiveness.
  • Develop, write, and review software and scripts used for bench automation, data collection, and analysis.
  • Generate, review, and present validation reports, including test results, analysis, and documentation.

What We're Looking For
  • Bachelor's degree in Electrical Engineering, Computer Engineering, or Software Engineering with 3-5 years of professional experience, or Master's degree with 2-3 years of professional experience, in one or more of the following domains: post-silicon validation, RF, microwave, or optical interconnect validation.
  • Solid understanding of silicon validation of mixed-signal, analog, and digital ICs and functional blocks.
  • Good understanding of microwave and RF test and measurement techniques.
  • Proficiency in C, C++, and/or Python software development for test, automation, and data analysis.
  • Proficient in the operation and principles of modern high-speed test and measurement equipment, including but not limited to: Power supplies and multimeters, Spectrum analyzers, Oscilloscopes (with emphasis on jitter and noise analysis), Bit error rate testers (including modulation and jitter sources), Vector network analyzers (VNA), Arbitrary waveform generators (AWG), Lightwave components analyzer (LCA),
  • Ability to work across disciplines and manage time effectively across multiple concurrent tasks.
  • Strong written and verbal communication skills.

Preferred Qualifications
  • Understanding of test metrology for high-speed custom and standards-compliant SerDes products.
  • Ability to analyze and identify sources of noise and jitter in high-speed systems.
  • Familiarity with optical components and Silicon Photonics devices.
  • Familiarity with RF and microwave components and interconnects.
  • High speed on wafer probing experience.

Expected Base Pay Range (USD)
109,400 - 161,950, $ per annum
The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.
Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.
Interview Integrity
To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
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