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Algorithm Intern Jobs in San Jose, CA (NOW HIRING)

Samaya AI

ML Research Intern

Mountain View, CA · On-site

The intern will also have the opportunity to reshape Samaya's key product roadmap using their ... Develop and experiment with new models, algorithms, and methodologies to improve AI agents ...

Brilent

Data Scientist Intern

San Mateo, CA · On-site

As a data scientist intern, you will work alongside our small team of data scientists and engineers ... Experiment with different machine learning algorithms and statistical techniques and develop new ...

Workato

Intern, AI Engineering

San Francisco, CA

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Develop and evaluate novel algorithms with both academic rigor and production feasibility * Present ...

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Showing results 41-60

All JobsAlgorithm Intern JobsAlgorithm Intern Jobs in San Jose, CA

Algorithm Intern information

See San Jose, CA salary details

$10

$19

$28

How much do algorithm intern jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for algorithm intern in San Jose, CA is $19.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $22.55 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 San Jose, CA as of June 2026, with employment types broken down into 1% Locum Tenens, 63% Full Time, 34% Part Time, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $41,530 per year, or $20 per hour.

Software Engineer Intern (US)

Deep Infra Inc.

Palo Alto, CA

Internship

Posted 13 days ago

Job description

DeepInfra is seeking talented and motivated Software Engineering Interns to join our team. As an intern, you will be working closely with our experienced engineering team to design, develop, and deploy the top open AI models at scale. This is an excellent opportunity to gain hands-on experience in building scalable and efficient software systems, while working on cutting-edge AI models and algorithms.
What You’ll Do

  • Collaborate with the engineering team to design, develop, and test inference solutions for the top AI models.
  • Implement and optimize AI models using Python, C++, CUDA, NCCL
  • Monitor and maintain the live service.
  • Work on feature development, bug fixing, and code reviews to ensure high-quality software delivery
  • Participate in daily stand-ups, code reviews, and design discussions to ensure seamless collaboration
  • Stay up-to-date with industry trends and advancements in AI and machine learning
  • Try new things
  • Ship stuff

What You Bring

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field
  • Strong fundamental knowledge in computer science, including data structures, algorithms, and software design patterns
  • Proficiency in Python, including experience with AI/ML libraries and frameworks (e.g., NumPy, pandas, SciPy, TensorFlow, PyTorch)
  • Familiarity with AI models, Transformers and Diffusers
  • Experience with version control systems (e.g., Git) and agile development methodologies
  • Excellent problem-solving skills, with the ability to debug and optimize code
  • Strong communication and teamwork skills, with the ability to effectively collaborate with cross-functional teams

Why DeepInfra

  • Work on cutting-edge AI model serving - the systems that power the next generation of LLMs and multimodal models.
  • Small team, huge impact: your work ships directly to customers.
  • Opportunity to learn from engineers building high-performance inference at scale.
  • Fast-paced environment with ownership, autonomy, and end-to-end responsibility.

How we work
Three traits define the people who thrive here, and this role leans on all three.
Initiative. We take ownership and step in where we can add value. Whether it’s starting something new, improving what exists, or helping move ideas forward, we aim to be proactive and thoughtful in how we contribute.
Drive. We’re energized by hard problems. Building AI infrastructure is complex, and we lean into that. We care about doing things well, moving fast, and continuously improving — because solving meaningful challenges is what motivates us.
Grit. Things don’t always work on the first try — and that’s expected. We stay persistent, adapt quickly, and learn as we go. We take setbacks seriously, but not personally, and use them to get better.
CompensationMonthly range: 7000-8000/month USD

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