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Algorithm Intern Jobs (NOW HIRING)

Ambarella

Algorithm engineer interns at Ambarella are responsible for developing highly efficient algorithms for our self-driving car and a wide variety of Ambarella's future products. Responsibilities:

Volkswagen AG

Advanced Driving Systems Intern

San Jose, CA · On-site

$38 - $42/hr

The intern will use a prototype vehicle equipped with state of the art sensors to access to the ... Implementation and extension of algorithms in Python or C++ with emphasis on data processing and ...

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How much do algorithm intern jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for algorithm intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 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 the United States as of June 2026, with employment types broken down into 23% Internship, 29% Full Time, 44% Part Time, 3% Temporary, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Algorithm Engineer Intern

Algorithm Engineer Intern

Ambarella

Full-time

Posted 25 days ago

Job description

AI Vision Processors For Edge ApplicationsOur solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

Algorithm engineer interns at Ambarella are responsible for developing highly efficient algorithms for our self-driving car and a wide variety of Ambarella's future products.

Responsibilities:

  • Develop deep learning and computer vision algorithms and systems.
  • Design, train, and optimize Transformer models and variants.
  • Stay up to date with the latest research and innovations in multi-modal large language models, embodied AI etc.
  • Assist in creating and curating high-quality datasets for model distillation and supervised fine-tuning.

Qualifications:

  • PhD or master's in computer science or electrical engineering or related field.
  • Hands-on experience with deep learning and its applications to computer vision (e.g. object detection and tracking, semantic segmentation, vision language models).
  • Familiarity with AI compute stack: Kubernetes, Ray, vLLM and PyTorch, onnx etc.
  • Strong programming skills in Python, C/C++, CUDA.
  • Excellent communication skills.

Apply