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Internship Computer Science Cpt Jobs in California

DEUNA

Data Science intern

San Francisco, CA · On-site

During the internship, you will support the Data team by analyzing data, building models ... Computer Science * Data Science * Statistics * Mathematics * Engineering * Economics * Physics * Or ...

DEUNA

Data Science intern

San Francisco, CA

During the internship, you will support the Data team by analyzing data, building models ... Computer Science * Data Science * Statistics * Mathematics * Engineering * Economics * Physics * Or ...

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform ... in Computer Science, Operations Research, Statistics, Econometrics, or a related technical ...

Beta Soft System Inc.

Entry level jobs

Fremont, CA

... Internship level experience. Position 1 - Automation QA Engineer Education: BS/MS degree/Engg (CS ... Masters/Bachelors preferably in Computer Science, Engineering, MBA and also for the people who have ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics ... internships, or research projects). * Demonstrated experience developing generative AI solutions ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics ... internships, or research projects). * Demonstrated experience developing generative AI solutions ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics ... internships, or research projects). * Demonstrated experience developing generative AI solutions ...

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Internship Computer Science Cpt information

What is an Internship Computer Science CPT?

An Internship Computer Science CPT refers to a Curricular Practical Training (CPT) opportunity for computer science students who are on F-1 visas in the United States. CPT allows eligible international students to gain hands-on work experience in their field of study while still enrolled in their academic program. The work must be directly related to their major, approved by their school, and can be part-time or full-time depending on the institution's policies. Participation in CPT helps students apply classroom knowledge to real-world problems and build professional skills.

What are the key skills and qualifications needed to thrive as an Internship Computer Science CPT, and why are they important?

To thrive as an Internship Computer Science CPT, you typically need foundational programming knowledge, problem-solving abilities, and enrollment in a relevant academic program, with CPT (Curricular Practical Training) authorization from your university. Familiarity with coding languages like Python or Java, version control systems such as Git, and exposure to development environments are commonly expected. Strong communication, adaptability, and teamwork skills help interns effectively learn and contribute within professional settings. These skills and qualifications are crucial to ensuring successful integration into real-world projects, compliance with visa requirements, and meaningful professional growth.

What types of projects or tasks can I expect to work on during a Computer Science CPT internship?

During a Computer Science CPT internship, you can expect to work on a variety of hands-on projects such as software development, debugging, testing, and collaborating on code reviews with your team. Interns often contribute to ongoing projects, assist with designing algorithms, and may participate in meetings to discuss technical solutions and project progress. The work environment is typically collaborative, with interns receiving mentorship from experienced engineers and opportunities to learn new technologies. This experience helps build practical skills that are directly applicable to future full-time roles.
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Internship Computer Science Cpt jobs near you
Financial Analyst Internship - Fall 2026

Financial Analyst Internship - Fall 2026

Varda Space Industries

El Segundo, CA

Other

Re-posted yesterday

Job description

About This Role 

Fall internships will range between the months of August and December. All dates dependent upon the university schedule of the selected students. Internships are full-time and on-site in Los Angeles, CA. To be considered for this internship, candidates must be actively enrolled in an accredited undergraduate or graduate degree program. 

Internships at Varda are optimal for students looking to grow technically and professionally while working on impactful projects critical to the company's success. You will be working on a collaborative team in a startup environment while being able to learn from some of most accomplished and experienced aerospace professionals in the world. We're dedicated to providing an experience that will let your decisions and contributions help drive Varda's success. 

As a part of the finance team you will collaborate with the team to develop data structures and enhance system capabilities for advanced analytics and dashboard creation. Utilize AI, Machine Learning, and LLMs to deliver business insights to executive leadership.

Responsibilities
  • Build data structure to support Business and Finance KPIs
  • Publish Dashboards to automate reporting
  • Review existing systems/tools and enhance reporting mechanisms
  • Enable Machine Learning to evolve automation
Basic Qualifications
  • Education: Currently enrolled in an undergraduate or postgraduate program, majoring in Computer Science or Computer Engineering. Preference for college juniors/rising seniors.
  • Programming Skills: Proficiency in Python, R, Java, Linux, C++, or VMWare.
  • AI/ML Knowledge: Strong understanding of Large Language Models (LLMs) and Machine Learning algorithms.
  • Framework Experience: Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
Preferred Skills And Experience 
  • Project Experience: Previous involvement in AI/ML projects or internships.
  • Deep Learning: Knowledge of deep learning and neural networks.
  • Data Visualization: Experience with tools like Matplotlib and Seaborn.
  • Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure.

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