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Quantitative Research Intern Jobs in California (NOW HIRING)

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Quantitative Research Intern information

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$2.1K

$6.4K

$7.7K

How much do quantitative research intern jobs pay per month?

As of Aug 27, 2026, the average monthly pay for quantitative research intern in California is $6,355.17, according to ZipRecruiter salary data. Most workers in this role earn between $4,358.33 and $7,566.67 per month, depending on experience, location, and employer.

What does a quantitative research intern do?

A Quantitative Research Intern typically assists in analyzing large datasets, developing mathematical models, and conducting statistical analysis to support decision-making in fields like finance, technology, or academia. Their responsibilities may include data cleaning, programming, running simulations, and generating reports on findings. Interns work closely with experienced quantitative researchers and may contribute to ongoing research projects or help develop new methodologies. This role is ideal for students or recent graduates with strong analytical skills and an interest in applying mathematics and statistics to solve real-world problems.

What are some typical projects a quantitative research intern might work on during their internship?

As a Quantitative Research Intern, you can expect to work on projects such as developing and backtesting trading algorithms, analyzing large datasets to identify market patterns, or implementing statistical models to forecast financial trends. Interns often collaborate closely with experienced researchers and traders, contributing to both ongoing research initiatives and exploratory projects. These experiences not only enhance technical and analytical skills but also provide exposure to real-world financial problem-solving in a dynamic team environment.

What are the key skills and qualifications needed to thrive as a quantitative research intern, and why are they important?

To thrive as a Quantitative Research Intern, you need strong analytical abilities, a solid foundation in statistics and mathematics, and progress toward a degree in a quantitative field such as mathematics, statistics, finance, or computer science. Familiarity with programming languages like Python, R, or MATLAB, and experience using statistical analysis tools or platforms, are typically required. Attention to detail, problem-solving skills, and effective communication set candidates apart in this role. These skills enable you to analyze complex data, generate actionable insights, and clearly present findings to support data-driven decision-making.

What are the most commonly searched types of Quantitative Research jobs in California?

The most popular types of Quantitative Research jobs in California are:

What job categories do people searching Quantitative Research Intern jobs in California look for?

The top searched job categories for Quantitative Research Intern jobs in California are:

What cities in California are hiring for Quantitative Research Intern jobs?

Cities in California with the most Quantitative Research Intern job openings:

Infographic showing various Quantitative Research Intern job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $76,262 per year, or $36.7 per hour.

Computer Vision Research Intern

San Jose, CA

FUTUREWEI TECHNOLOGIES INC
Telecommunications • 201 - 500 employees

$18 - $59/hr

Internship

Posted 19 days ago


Job description

****Please note: This position is exclusively for the Fall 2026 internship term****

Our research team works on cutting-edge projects in the field of computer vision (CV) and artificial intelligence (AI) - helping machines perceive, understand, and reason about the world around them. We are looking for a passionate and talented intern to join our research team. The ideal candidate is highly motivated with broad knowledge in CV/AI, and with demonstrated ability for new technology research and a proven record of influential publications in related fields. The intern will have the opportunity to work with a diverse group of researchers in the exploration of advanced techniques and contribute to the projects.

This candidate is expected to:


Conduct original research in computer vision, including but not limited to spatial intelligence and reasoning (e.g. 3D/4D scene understanding, reconstruction, embodied perception, vision-language models, multimodal generative modeling, etc.), from conceptualization through implementation and evaluation.
Identify state-of-the-art (SOTA) techniques, performing systematic literature reviews and benchmarking existing methods to inspire new ideas.
Conduct experimental studies and refine solutions based on qualitative evaluation and quantitative metrics.
Write research papers and publish findings in top-tier CV/ML conferences and journals.

Requirements:


Deep understanding of computer vision and machine learning fundamentals; experience with 3D vision, geometric reasoning, or embodied AI is a plus
Strong programming skills in Python and hands-on experience with frameworks such as PyTorch, etc.
Proven experience in conducting original research in computer vision, with at least one publication in a peer-reviewed journal or conference
Strong written and verbal communication skills, with the ability to contribute to academic publications and present research findings
Ability to work independently and collaborate effectively within a team
PhD student in Computer Science, Computer Vision, Machine Learning, or a related field

Hourly interns pay range: $18 to $59, depending on degree-seeking academic program (PhD, Master's, Bachelor's, etc.), years of relevant experience, year in school, geographic location, credentials, qualifications, and other job-related factors.

Housing allowance and relocation benefit might be provided to intern candidates who meet the qualifications. Additional details on the compensation package will be provided to candidates during the interview process.

Employment Type: Intern