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Algorithm Intern information

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$8

$16

$23

How much do algorithm intern jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for algorithm intern in California is $16.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Algorithm Intern, and why are they important?

To thrive as an Algorithm Intern, you need a strong background in computer science fundamentals, mathematics, and algorithm design, often supported by relevant coursework or a degree in a related field. Familiarity with programming languages such as Python, C++, and tools like Git or Jupyter Notebooks is commonly required. Problem-solving abilities, attention to detail, and effective teamwork are essential soft skills that help interns excel. These skills and qualities are crucial for developing efficient solutions, collaborating on projects, and contributing meaningfully to technical teams.

What types of projects and responsibilities can an Algorithm Intern expect during their internship?

As an Algorithm Intern, you will typically work on projects involving data analysis, algorithm development, and performance optimization. Daily tasks often include collaborating with senior engineers and data scientists to design, implement, and test algorithms for real-world applications. You may also participate in code reviews, team meetings, and present your results to both technical and non-technical stakeholders. This role provides a great opportunity to gain hands-on experience with industry-standard tools and contribute meaningfully to ongoing projects.

What does an Algorithm Intern do?

An Algorithm Intern assists in developing, testing, and optimizing algorithms for use in software applications or systems. Their responsibilities often include researching existing algorithms, implementing new solutions, analyzing data, and collaborating with engineers and data scientists. Interns gain practical experience in coding, problem-solving, and applying mathematical concepts to real-world challenges, usually under the guidance of senior staff. This role provides valuable exposure to the tech industry's practices and helps build skills necessary for advanced roles in software engineering, data science, or research.
What are the most commonly searched types of Algorithm jobs in California? The most popular types of Algorithm jobs in California are:
What are popular job titles related to Algorithm Intern jobs in California? For Algorithm Intern jobs in California, the most frequently searched job titles are:
What job categories do people searching Algorithm Intern jobs in California look for? The top searched job categories for Algorithm Intern jobs in California are:
What cities in California are hiring for Algorithm Intern jobs? Cities in California with the most Algorithm Intern job openings:
Algorithm Intern jobs near you
Infographic showing various Algorithm Intern job openings in California as of July 2026, with employment types broken down into 3% Locum Tenens, 71% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $34,972 per year, or $16.8 per hour.
Remote AI Algorithm Engineer Intern - Build Real-World AI (San Francisco)

Remote AI Algorithm Engineer Intern - Build Real-World AI (San Francisco)

Wayne State University

San Francisco, CA • On-site

Part-time

Posted 5 days ago

New

Wayne State University rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

248th of 546 rated colleges and universities

Job description

A modern AI-focused recruiting startup is seeking an AI Algorithm Engineer Intern for a remote position, preferably in the Bay Area. The intern will research and develop AI algorithms, optimize machine learning models, and analyze data to enhance job matching and recruitment processes. Candidates should possess a solid background in Computer Science or related fields, along with skills in machine learning and Python programming. Exciting exposure to startup operations and potential for advancement is offered.
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