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Graphics Engineer - NBA 2K

They are seeking a Graphics Engineer for their NBA 2K team to work on cutting-edge rendering ... Computer Science or equivalent professional experience • Advanced proficiency in HLSL or a ...

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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.

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Internship Nba Computer Science jobs near you
Infographic showing various Internship Nba Computer Science job openings in the United States as of May 2026, with employment types broken down into 8% Internship, 2% As Needed, 4% Full Time, 84% Part Time, and 2% Nights. Highlights an 42% Physical, and 58% Remote job distribution.
Computer Scientist

Computer Scientist

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Posted 22 days ago

Job description

Job Summary:
MIT Lincoln Laboratory is focused on developing advanced technologies for humanitarian assistance and disaster relief. They are seeking a recent graduate in Computer Science or related fields to support various technical projects, which include developing software tools and maintaining applications.
Responsibilities:
• developing demos and prototypes
• maintaining existing applications
• writing automation scripts
• building software tools that support our mission areas and programs
Qualifications:
Required:
• Bachelor's degree in Computer Science, Computer Engineering, or related fields
• Strong programming skills in at least one high-level language (e.g., Python, MATLAB, Java, C/C++)
• Demonstrated problem-solving abilities through coursework, projects, or internships
• Experience with version control systems (e.g., Git) and collaborative software development
• Experience testing and verifying software functionality
• Ability to work effectively in a collaborative, interdisciplinary team environment
• Good written and oral communication skills to explain technical concepts clearly
• Eagerness to learn and adapt to dynamic project requirements
Preferred:
• Experience with GIS and geospatial libraries (e.g., ArcGIS Pro, QGIS, geopandas, gdal, pdal)
• Experience building graphical user interfaces
• Experience with scripting languages (e.g., Bash, Shell)
• Experience with Linux/Unix operating systems
• Experience with developing with Large Language Models APIs (e.g., HuggingFace, OpenAI/Anthropic/Google, ollama, vLLM)
• Experience with databases and query languages (e.g., SQL, postgres)
• Experience with using high performance computers and SLURM
Company:
MIT Lincoln Laboratory is a federally funded research and development center chartered to apply advanced technology to problems of national security. Founded in 1951, the company is headquartered in Lexington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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