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Internship R Programming Language Jobs in San Diego, CA

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Experience in other programming languages (eg. Java, R, Haskell) a plus. * Solid knowledge of ...

Waymo

Systems Engineer, Perception

San Diego, CA · Hybrid

Experience in software engineering for simulation and data evaluation, using Python or other high level language (e.g. SQL, R, C++) * Comfortable juggling multiple projects at once and thriving in ...

Inversion

Senior Ground Software Engineer

Vista, CA · On-site

$139K - $201K/yr

... other engineers and interns In your first 6-12 months, you will take ownership of the ground ... Strong coding skills in a systems programing language (C, C++, Rust, etc.) and scripting languages ...

Elevate Semiconductor

Product Engineer

San Diego, CA · On-site

$80K - $110K/yr

Support correlation, GR&R, and test time reduction initiatives. * Continuously improve test ... Proficiency in at least one programming or scripting language (C, C++, VB, Python, etc.

Elevate Semiconductor

Product Engineer

San Diego, CA · On-site

$80K - $110K/yr

Support correlation, GR&R, and test time reduction initiatives. * Continuously improve test ... Proficiency in at least one programming or scripting language (C, C++, VB, Python, etc.

Axos Bank

JBATA - AI Automation Developer

San Diego, CA

$30/hr

Build AI-powered automations that orchestrate large language models to classify, extract, summarize ... internships, or related experience preferred * Customer Obsession: "Good enough" isn't good enough ...

Axos Bank

JBATA - AI Automation Developer

San Diego, CA · On-site

$30/hr

Build AI-powered automations that orchestrate large language models to classify, extract, summarize ... internships, or related experience preferred * Customer Obsession: "Good enough" isn't good enough ...

General Atomics

Software Developer I

San Diego, CA · On-site

$71K - $109K/yr

In addition to program design this includes determining language, platform, and resource ... Previous internship or projects involving software development is a plus. * Must have a basic ...

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Internship R Programming Language information

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How much do internship r programming language jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for internship r programming language in San Diego, CA is $18.37, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $20.43 per hour, depending on experience, location, and employer.

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 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.

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
Machine Learning Engineer

Machine Learning Engineer

NTENT

Carlsbad, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Carlsbad office
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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