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Remote Quantitative Developer Intern Jobs in Berkeley, CA

Databento

Quantitative Sales

San Francisco, CA · On-site +1

We accommodate 100% remote work, with teammates living around the globe and paid in their local ... Understand and communicate with our user base of developers and quants. * Experience with quant ...

Clerkie

Software Engineer Internship

San Francisco, CA · On-site +1

$80/hr

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ... About the internship As the newest addition to Team Clerkie, this Software Engineer Intern will ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

Programming Proficiency and experience in Python, SQL, or similar languages. Python and SQL ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

Aembit, Inc.

AI Go-To-Market Team Intern

San Francisco, CA · Remote

$17.75 - $23.50/hr

Summer 2026 | 10 Weeks | Fully Remote | Full-Time | West Coast-Friendly Schedule About Aembit ... Currently enrolled in a bachelor's program in Computer Science, Software Engineering, Information ...

Aembit

AI Go-To-Market Team Intern

San Francisco, CA · Remote

$15.25 - $20.50/hr

Summer 2026 | 10 Weeks | Fully Remote | Full-Time | West Coast-Friendly Schedule About Aembit ... Currently enrolled in a bachelor's program in Computer Science, Software Engineering, Information ...

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Remote Quantitative Developer Intern information

What does a Remote Quantitative Developer Intern do?

A Remote Quantitative Developer Intern works with quantitative analysts and software engineers to design, develop, and implement algorithms and tools used for financial modeling and data analysis, often in the finance or trading industry. They typically use programming languages like Python, C++, or Java to build and test quantitative models remotely. Their work helps organizations make data-driven decisions, optimize trading strategies, and manage risk. As an intern, they also gain exposure to advanced mathematical concepts, financial markets, and collaborative software development processes.

What are some common challenges faced by Remote Quantitative Developer Interns, and how can they overcome them?

Remote Quantitative Developer Interns often face challenges such as effective communication with distributed teams, managing time across different time zones, and accessing necessary data or systems securely. To overcome these challenges, it's important to proactively schedule regular check-ins with mentors, make use of collaborative tools like version control and project management platforms, and clarify expectations early on. Additionally, documenting your work and seeking feedback can help ensure alignment and smooth progress throughout the internship.

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

A Remote Quantitative Developer Intern should have strong programming skills (such as Python or C++), a solid foundation in mathematics or statistics, and be working toward a relevant degree like computer science, engineering, or applied math. Familiarity with quantitative libraries, version control systems (like Git), and data analysis tools is typically expected. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills, especially for remote collaboration. These skills ensure interns can efficiently contribute to quantitative research and development projects, adapt to fast-paced environments, and communicate findings clearly within distributed teams.

What is the difference between Remote Quantitative Developer Intern vs Quantitative Analyst Intern?

AspectRemote Quantitative Developer Intern
Required Credentials
Typically pursuing or holding a degree in Computer Science, Mathematics, or related fields; coding skills essential
Work Environment
Remote, collaborative teams within financial firms or hedge funds
Employer & Industry Usage
Commonly employed in quantitative trading firms, hedge funds, or financial technology companies
Comparison Summary

The Remote Quantitative Developer Intern focuses on coding, developing algorithms, and building trading models, requiring strong programming skills. In contrast, a Quantitative Analyst Intern typically emphasizes data analysis, statistical modeling, and research. Both roles often require similar educational backgrounds and are found in financial industries, but their core responsibilities differ, with the developer role being more technical and programming-oriented.

What are popular job titles related to Remote Quantitative Developer Intern jobs in Berkeley, CA? For Remote Quantitative Developer Intern jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Remote Quantitative Developer Intern jobs in Berkeley, CA look for? The top searched job categories for Remote Quantitative Developer Intern jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Remote Quantitative Developer Intern jobs? Cities near Berkeley, CA with the most Remote Quantitative Developer Intern job openings:
Remote Quantitative Developer Intern jobs near you
Infographic showing various Remote Quantitative Developer Intern job openings in Berkeley, CA as of June 2026, with employment types broken down into 26% Internship, 49% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution.
Software Engineer, Quantitative Evaluations

Software Engineer, Quantitative Evaluations

Waymo

San Francisco, CA • On-site, Remote

$170K - $216K/yr

Other

Posted 25 days ago

Job description

Software Engineer, Quantitative Evaluations

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!

This role follows a hybrid work schedule and reports to a Sr. Staff Engineering Manager.

You will:

  • Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning.
  • Use simulation creatively and mine real world driving logs to measure driving performance.
  • Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes.
  • Champion code health and best practices in a large and complex code base.
  • Analyze data and make recommendations on how to improve metric quality and interpretability.
  • Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions.

You have:

  • BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
  • Strong self-motivation to navigate complex systems and pursue open-ended problems to completion
  • 1+ years of industry experience with:
    • Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL
    • Performing statistical analyses
    • Building data processing pipelines
    • Writing, reviewing, and merging code following industry standards for code health and maintainability
    • Quant/data fluency is a top requirement

We prefer:

  • Experience coding in C++
  • Experience with ML
  • Experience with A/B experiment infrastructure
  • Experience building and validating metrics to measure quality in complex systems
  • Exposure to ad-hoc data analysis tools for rapid modeling and prototyping
  • Experience working in the AV industry

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range $170,000—$216,000 USD

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