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Quant Developer Internship Jobs in California (NOW HIRING)

Nace AI

Research Engineer

Palo Alto, CA · On-site

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

DEUNA

Data Science intern

San Francisco, CA · On-site

During the internship, you will support the Data team by analyzing data, building models ... Engineering * Economics * Physics * Or a related quantitative field. We may use artificial ...

DEUNA

Data Science intern

San Francisco, CA

During the internship, you will support the Data team by analyzing data, building models ... Engineering * Economics * Physics * Or a related quantitative field. We may use artificial ...

xAI

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

... software engineering experience (internship experience is applicable) • Experience in ... quantitative analysis to guide technical and product decision, including familiarity of scaling ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

... quantitative discipline * Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships * Experience ...

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Quant Developer Internship information

What is a Quant Developer Internship?

A Quant Developer Internship is a temporary position, usually for students or recent graduates, that offers hands-on experience in quantitative finance and software development. Interns work with quantitative analysts and developers to design, implement, and optimize financial models and trading algorithms. The role typically involves programming, data analysis, and collaborating with other teams to solve real-world financial problems. This internship is an excellent opportunity for those interested in combining finance, mathematics, and computer science in a professional setting.

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

AspectQuant Developer InternshipQuant Analyst Internship
Required CredentialsTypically pursuing or holding a degree in Computer Science, Mathematics, or related fieldsUsually pursuing or holding a degree in Finance, Economics, or related fields
Work EnvironmentHands-on coding, software development, and algorithm implementationData analysis, financial modeling, and strategy development
Employer & Industry UsageUsed in hedge funds, investment banks, and trading firms focusing on technology-driven rolesCommon in asset management firms, hedge funds, and financial institutions focusing on market analysis

While both internships involve finance and quantitative skills, Quant Developer Internships focus more on programming and software development, whereas Quant Analyst Internships emphasize financial analysis and modeling. Candidates should choose based on their strengths in coding versus financial analysis.

What are some common challenges faced during a Quant Developer Internship, and how can interns overcome them?

Quant Developer Interns often encounter challenges such as adapting to complex financial models, working with large datasets, and mastering specialized programming languages like Python or C++. To overcome these, interns should proactively seek guidance from senior team members, participate in regular code reviews, and allocate time to strengthen their understanding of both financial concepts and software development best practices. Collaboration and open communication within the team are crucial for navigating technical obstacles and successfully delivering project tasks.

What are the key skills and qualifications needed to thrive as a Quant Developer Intern, and why are they important?

To thrive as a Quant Developer Intern, you need a strong background in mathematics, statistics, and programming, typically demonstrated through a degree in quantitative fields like computer science, mathematics, or engineering. Familiarity with programming languages such as Python, C++, or Java, and experience using financial modeling tools or libraries are highly valued. Analytical thinking, attention to detail, and effective communication are critical soft skills for collaborating with teams and interpreting complex data. These skills and qualities are essential for developing robust quantitative models and contributing effectively to quantitative research and trading strategies.
What are the most commonly searched types of Quant Developer jobs in California? The most popular types of Quant Developer jobs in California are:
What are popular job titles related to Quant Developer Internship jobs in California? For Quant Developer Internship jobs in California, the most frequently searched job titles are:
What job categories do people searching Quant Developer Internship jobs in California look for? The top searched job categories for Quant Developer Internship jobs in California are:
What cities in California are hiring for Quant Developer Internship jobs? Cities in California with the most Quant Developer Internship job openings:
Quant Developer Internship jobs near you
Infographic showing various Quant Developer Internship job openings in California as of July 2026, with employment types broken down into 84% Full Time, 5% Part Time, 2% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Research Engineer

Nace AI

Palo Alto, CA • On-site

Full-time

Re-posted 26 days ago

Job description

Role Description
This role is on-site in Palo Alto, CA.
Nace AI is building the next generation of enterprise intelligence - advanced long-horizon reasoning models and autonomous agents designed to execute complex financial workflows with precision. Our flagship product, Agentic Accounting, enables financial audit, billing audit, and revenue leakage detection with speed and accuracy that traditional systems cannot match.
We are at a pivotal stage in our growth. While we've already achieved sufficient funding, our ambitions are much larger. Our goal is to become the foundational AI platform for intelligent financial operations across the enterprise.
The work we are doing has meaningful impact across industries, and every hire at Nace AI plays a critical role in shaping the company's trajectory. This is a unique opportunity to join a high conviction AI company at an early stage and directly influence its growth.
If building a world-class AI team from the ground up excites you, we'd love to talk.
Minimum Qualifications
  • Direct experience working with Large Language Models (LLMs) or Vision-Language Models (VLMs) in research or production settings
  • Strong research background in Natural Language Processing, Machine Learning, or related disciplines with focus on language modeling
  • Proven track record in solving complex problems in language understanding, generation, or multimodal AI using rigorous quantitative methodologies
  • Demonstrated ability to clearly communicate research findings to diverse technical audiences
  • Proficient programming skills in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow), with experience in distributed training and model optimization

Preferred Qualifications
  • PhD in Computer Science, Computational Linguistics, or closely related field with focus on language models and adaptive learning systems
  • Proven research and engineering experience with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, as evidenced by grants, fellowships, patents, internships, or contributions to open-source projects
  • First authored publications on language models, meta-learning, hypernetworks, or adaptive AI in recognized peer-reviewed conferences (ACL, EMNLP, NeurIPS, ICML, ICLR) or journals
  • Kaggle experience is a plus.

Preferred Technical Experience
  • Research expertise in LLM reasoning, hypernetworks, multi-task learning, meta-learning, designing novel LLM adaptation methods, Online Continual Learning

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