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Intern Algorithmic Trader Jobs in California (NOW HIRING)

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Intern Algorithmic Trader information

What is the difference between Intern Algorithmic Trader vs Quantitative Analyst?

AspectIntern Algorithmic TraderQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, computer science, or related fieldsOften holds or pursuing advanced degrees in finance, mathematics, or statistics
Work EnvironmentFinancial trading firms, hedge funds, or proprietary trading desksInvestment banks, asset management firms, or financial institutions
Employer & Industry UsageUsed in trading and hedge fund environments focusing on algorithmic strategies

The Intern Algorithmic Trader primarily focuses on supporting trading strategies through coding and data analysis, often in a fast-paced trading environment. In contrast, a Quantitative Analyst develops models and conducts research to inform investment decisions. While both roles require strong quantitative skills, the intern role is more hands-on with trading execution, whereas the analyst role emphasizes model development and research.

What are the most commonly searched types of Algorithmic Trader jobs in California? The most popular types of Algorithmic Trader jobs in California are:
What job categories do people searching Intern Algorithmic Trader jobs in California look for? The top searched job categories for Intern Algorithmic Trader jobs in California are:
Infographic showing various Intern Algorithmic Trader job openings in California as of June 2026, with employment types broken down into 9% As Needed, and 91% Full Time. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.
Perception Intern, Summer 2026

Perception Intern, Summer 2026

Mach9 Robotics Inc

San Francisco, CA โ€ข On-site

$17.75 - $23.50/hr

Internship

Posted 28 days ago


Job description

About the role
As a Perception Intern at Mach9, you will contribute to a range of projects that are critical to the development and enhancement of our core products. You will have the opportunity to work on advanced 2D image and 3D point cloud models for object and panoptic detection, focusing on urban and roadway features such as traffic lights, utility poles, curbs, and painted road markings.
Example past and future projects:
  • Develop an initial prototype to detect paint lines and curbs on roadways. (This project ended up developing into one of our new products).
  • Bring our perception models and algorithms into a real-time detection domain, trading off accuracy for speed to run on an advanced edge mapping hardware system.
  • Assist in the development and tuning of machine learning models to enhance performance and accuracy.

What We're Looking For:
  • Strong programming fundamentals in Python, with a focus on algorithmic problem-solving and clean code design.
  • Ability to implement and iterate on heuristic or geometry-based algorithmsquickly.
  • Hands-on experience with machine learning frameworks (e.g., PyTorch, Jax) and familiarity with computer vision tasks.
  • A keen interest in applying machine learning to solve real-world problems, particularly in the context of geospatial data analysis.
  • Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks.
  • Currently pursuing a degree in Machine Learning, Computer Science, or a related field, with a solid understanding of machine learning concepts and techniques.

Why Mach9?
This internship presents a unique opportunity to contribute to impactful projects at the intersection of machine learning and geospatial technology. You will work alongside industry experts, gain valuable practical experience, and help shape the future of urban infrastructure management.