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Internship Nba Computer Science Jobs in California

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 ...

Data Science Engineer

Livermore, CA ยท 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 ...

Data Science Engineer

Livermore, CA ยท 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 ...

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

Computer Vision Engineer

San Francisco, CA ยท On-site +1

$141K - $184K/yr

What you'll bring Required * BS or MS in Computer Science, Electrical Engineering, Robotics, or a related field. * 1-3 years of experience (including internships or research) in software engineering ...

$15.25 - $20.50/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

New

$15.50 - $21/hr

Freddie Mac's University program offers summer internships and full-time opportunities in Accounting, Business, Communications, Investments & Capital Markets, Computer Science, Data/Quant Analytics ...

New

Showing results 41-60

Internship Nba Computer Science information

What types of projects can I expect to work on during an NBA Computer Science internship?

As an NBA Computer Science intern, you'll typically be involved in projects that support data analysis, software development, or technology integration for basketball operations, fan engagement, or business analytics. You may collaborate with data scientists, software engineers, and business analysts to develop tools, analyze large datasets, or improve internal systems. The NBA values innovation, so you might also work on pilot programs using emerging technologies. This collaborative environment provides valuable exposure to real-world applications of computer science in the sports industry.

What is an NBA Computer Science internship?

An NBA Computer Science internship is a temporary position offered by the National Basketball Association (NBA) or its affiliated teams and organizations to students or recent graduates pursuing a degree in computer science or a related field. Interns typically work on projects involving software development, data analysis, and technology solutions that support basketball operations, fan engagement, or business analytics. These internships provide hands-on experience in applying computer science skills to real-world sports industry challenges and may involve working with big data, machine learning, or developing digital products. Interns often collaborate with professionals in IT, analytics, and basketball operations, gaining valuable insights and networking opportunities within the sports and technology sectors.

What is the difference between Internship Nba Computer Science vs Data Analyst?

AspectInternship Nba Computer ScienceData Analyst
Required CredentialsRelevant coursework, basic programming skillsDegree in statistics, data science, or related field
Work EnvironmentSports industry, tech teams, NBA officesVarious industries, corporate offices, data teams
Employer & Industry UsageNBA teams, sports tech companiesBusinesses across sectors like finance, marketing, sports
Common Search & ComparisonInternship opportunities, sports tech rolesData analysis roles, business intelligence

Internship Nba Computer Science focuses on gaining experience in sports tech and programming within the NBA environment, often requiring basic coding skills and a passion for sports. Data Analysts analyze data to inform business decisions across industries. While both roles involve data and technical skills, internships are entry-level and industry-specific, whereas Data Analysts work across various sectors with more specialized data analysis expertise.

What are the most commonly searched types of Nba Computer Science jobs in California? The most popular types of Nba Computer Science jobs in California are:
What cities in California are hiring for Internship Nba Computer Science jobs? Cities in California with the most Internship Nba Computer Science job openings:
Infographic showing various Internship Nba Computer Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution.

AI Research Internship - LLM

Institute of Foundation Models

Sunnyvale, CA โ€ข On-site

$100K - $140K/yr

Internship

Re-posted 25 days ago


Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
 
As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
 
Key Responsibilities
This intensive, short-term internship offers a unique opportunity for aspiring AI engineers to;
• Collect, prepare and processing training and validation datasets.
• Assist in designing and tweaking model architectures.
• Implement testing frameworks to assess model performance.
• Analyze model outputs for accuracy and bias.
• Participate in the review and refinement of AI algorithms.
• Document findings and procedures for team collaboration.
 
Academic Qualifications
Currently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.