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Algorithm Intern Jobs in Los Angeles, CA (NOW HIRING)

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Algorithm Intern information

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How much do algorithm intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for algorithm intern in Los Angeles, CA is $18.36, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.72 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.
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Algorithm Intern jobs near you
Infographic showing various Algorithm Intern job openings in Los Angeles, CA as of August 2026, with employment types broken down into 20% Internship, 1% As Needed, 55% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $38,182 per year, or $18.4 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Los Angeles, CA • On-site

Other

Re-posted 21 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply