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Internship R Programming Language Jobs in California

Tenex.AI Inc

Software Engineer Intern

San Jose, CA · On-site

... internships, etc.) * Experience with at least one backend programming language such as Go, Python, or an equivalent. * Experience with at least one modern frontend framework such as Next.js ...

Mantari

Software Engineer Intern

Long Beach, CA

Internships are full-time and on-site in Los Angeles, CA. The Mantari Software Engineering ... Proficiency in at least one programming language (e.g., Python, C/C++, or Rust) * Experience with ...

Mantari

Software Engineer Intern

Torrance, CA · On-site

Internships are full-time and on-site in Los Angeles, CA. The Mantari Software Engineering ... Proficiency in at least one programming language (e.g., Python, C/C++, or Rust) * Experience with ...

Mantari

Software Engineer Intern

Torrance, CA

Internships are full-time and on-site in Los Angeles, CA. The Mantari Software Engineering ... Proficiency in at least one programming language (e.g., Python, C/C++, or Rust) * Experience with ...

Inceptive

Internship

Palo Alto, CA

$108K/yr

Inceptive is a start-up of 40+ AI researchers, biologists, and engineers on a mission to apply ... to language, vision, and robotics, with translational and high-throughput biologists. We work ...

Aven

GTM Engineer, Sales

Campbell, CA · On-site

Proficient in SQL and at least one general-purpose programming language, and comfortable working ... internships, or substantial personal projects * High-agency operator who can move from zero to one ...

Chai Discovery, Inc

Internship

San Francisco, CA · On-site

$17.75 - $23.50/hr

We are changing how biologists develop drugs, just as language models are changing how engineers ... Internship Opportunities We do not offer internships-everything is too fast, too critical, too ...

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Internship R Programming Language information

Is 30 an hour good for an intern?

For an internship involving R programming, a rate of $30 an hour is considered above average in many regions, especially for entry-level or learning positions. Interns typically earn lower wages, but this rate may reflect specialized skills, remote work, or competitive markets; it is important to consider local standards and the internship's scope. Compensation can vary based on industry, location, and the intern's experience level.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, and academia for data analysis and modeling.

What are the key skills and qualifications needed to thrive as an R Programming Language Intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data visualization roles. Many industries such as healthcare, finance, and research seek professionals skilled in R, especially those familiar with data manipulation packages like dplyr and ggplot2. Proficiency in R can enhance job prospects in data science and analytics fields.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles. Many organizations seek professionals proficient in R for data visualization, statistical modeling, and machine learning tasks, making it a valuable skill for internships and entry-level positions in these fields.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
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Internship R Programming Language jobs near you

Software Engineer Graduate (Cloud Native Infrastructure) - 2026 Start (PhD)

ByteDance

San Jose, CA • On-site

$202K - $240K/yr

Full-time

Posted 23 days ago

Job description

Job Summary:
ByteDance is a leading technology company known for its innovative products like TikTok. They are seeking a Software Engineer Graduate to join their Compute Infrastructure team, focusing on optimizing cloud-native infrastructure for AI and LLM workloads.
Responsibilities:
• Assist in analyzing and supporting enhancements to Hyper-Scale AI Infrastructure platforms, focusing on improving performance, scalability, and resilience for both traditional workloads and large language model (LLM) applications.
• Contribute to performance optimization efforts for Kubernetes-based infrastructure, including monitoring pod lifecycle, tracking resource utilization, and analyzing system behavior under varying load conditions—working closely with senior engineers to identify improvement opportunities.
• Lead small-scale development tasks related to resource management and scheduling in Kubernetes clusters, such as testing configuration updates, automating routine resource allocation workflows, or contributing to tooling for efficiency tracking.
• Engage actively in team discussions on AI infrastructure design and optimization strategies, leveraging academic knowledge and personal projects to propose fresh insights and potential solutions.
• Develop and maintain clear technical documentation, including runbooks, architecture diagrams, and process guides, to strengthen knowledge sharing and operational efficiency across the team.
Qualifications:
Required:
• Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Proficiency in at least one major programming language such as Python, Go, C++, Rust, and Java.
• Solid understanding of at least one of the following fields: Unix/Linux environments, distributed and parallel systems, high-performance networking systems, developing large scale software systems.
Preferred:
• Hands-on project experience with container and orchestration technologies such as Docker and Kubernetes through internships, coursework, or personal projects.
• Experience in developing or contributing to cloud-native open-source projects.
Company:
ByteDance is a technology company that develops content creation platforms and services. Founded in 2012, the company is headquartered in Beijing, CHN, with a team of 10001+ employees. The company is currently Late Stage.

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