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Internship Quantitative Developer Jobs in California

... engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers. - Strong quantitative background and coursework in or working ...

... engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers. - Strong quantitative background and coursework in or working ...

... quantitative measurement of colorization quality, and the user interface 2. Work in WBC diff area ... Hiring Manager is looking for interns Master degree or Ph.D. (preferred) graduated students ...

AI Intern

San Jose, CA

$17.75 - $23.50/hr

This internship provides hands-on experience working with emerging AI systems and integrating them ... quantitative metrics. * Collaborate with engineers and researchers to translate ambiguous ...

S. in Computer Science, Data Science, Engineering, Applied Math, or a related quantitative field. * Hands-on experience with ML modeling via coursework, internships, or independent projects.

This internship provides hands-on experience working with emerging AI systems and integrating them ... quantitative metrics. * Collaborate with engineers and researchers to translate ambiguous ...

... quantitative methodologies * Demonstrated ability to clearly communicate research findings to ... internships, or contributions to open-source projects * First authored publications on language ...

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Internship Quantitative Developer information

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

To thrive as an Internship Quantitative Developer, you need a solid background in mathematics, statistics, and programming—typically supported by progress toward a degree in quantitative fields like computer science, engineering, or finance. Familiarity with technical tools such as Python, C++, MATLAB, and version control systems, as well as experience with financial data platforms, is highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and interpret complex data. These competencies are crucial for developing robust quantitative models and contributing meaningfully to financial technology projects in a fast-paced environment.

What kinds of projects and tasks can an Internship Quantitative Developer expect to work on during their internship?

As an Internship Quantitative Developer, you can expect to work on a variety of projects such as developing and optimizing trading algorithms, analyzing large financial data sets, and creating back-testing frameworks to evaluate model performance. You may also assist in implementing code for pricing, risk management, or automated trading strategies under the guidance of senior quants and developers. Collaboration is common, as you’ll often work closely with quantitative analysts, traders, and software engineers to understand requirements, troubleshoot issues, and refine solutions. This hands-on exposure provides valuable learning opportunities and can be a stepping stone toward a full-time quantitative or developer role.

What does an Internship Quantitative Developer do?

An Internship Quantitative Developer assists in designing and implementing quantitative models and tools used in financial analysis, trading, or risk management. They work closely with quantitative analysts and software engineers to develop algorithms, analyze data, and optimize trading strategies. The role typically involves programming, data analysis, and collaborating on research projects, providing valuable hands-on experience in quantitative finance.

What is the difference between Internship Quantitative Developer vs Quantitative Analyst?

AspectInternship Quantitative DeveloperQuantitative Analyst
Required CredentialsUndergraduate or graduate degree in finance, math, or computer science; programming skillsDegree in finance, economics, or related field; strong analytical skills
Work EnvironmentInternship setting within financial firms, focusing on coding and model developmentFull-time role analyzing data, developing models, and providing trading insights
Employer & Industry UsageUsed by hedge funds, investment banks, and asset managers during internship programsCommon in investment firms, banks, and hedge funds for ongoing analysis

Internship Quantitative Developers typically focus on coding and developing trading algorithms during their internship, while Quantitative Analysts analyze data and develop models in a full-time capacity. Both roles require strong quantitative skills, but the internship is a temporary entry point, whereas the analyst role is a permanent position.

What are the most commonly searched types of Quantitative Developer jobs in California? The most popular types of Quantitative Developer jobs in California are:
What are popular job titles related to Internship Quantitative Developer jobs in California? For Internship Quantitative Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Quantitative Developer jobs in California look for? The top searched job categories for Internship Quantitative Developer jobs in California are:
What cities in California are hiring for Internship Quantitative Developer jobs? Cities in California with the most Internship Quantitative Developer job openings:

AI Research Internship

Institute of Foundation Models

Sunnyvale, CA

Internship

Posted 14 days ago


Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

Key Responsibilities
This intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;
• Collect, prepare and processing training and validation datasets.
• Assist in designing and tweaking model architectures.
• Implement testing frameworks to assess model performance.
• Analyze model outputs for accuracy and bias.
• Participate in the review and refinement of AI algorithms.
• Document findings and procedures for team collaboration.

Academic Qualifications
Currently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.