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Internship Text Analytics Jobs in California (NOW HIRING)

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... leader in AI analysis of medical images. Backed by Sequoia and Tencent. We help healthcare ... text report mining, and more! We are currently hiring both full-time and interns to join our R&D ...

MaxLinear, Inc.

AI Intern

Carlsbad, CA · On-site

$25 - $40/hr

In this internship, you will focus on the following: * Build an AI-driven test case generation ... Analyze test logs and publish execution summaries and reports to Confluence Qualifications * LLM ...

MaxLinear, Inc.

AI Intern

Carlsbad, CA

$25 - $40/hr

In this internship, you will focus on the following: * Build an AI-driven test case generation ... Analyze test logs and publish execution summaries and reports to Confluence * LLM inference, MCP ...

MaxLinear, Inc.

AI Intern

Carlsbad, CA

$25 - $40/hr

In this internship, you will focus on the following: * Build an AI-driven test case generation ... Analyze test logs and publish execution summaries and reports to Confluence Qualifications * LLM ...

B&B Manufacturing

Software Developer I

Valencia, CA · On-site

$92K - $150K/yr

... data analysis, productivity, and business process improvement. Performs assigned software ... text-based data files, including TXT and CSV files, for imports, exports, reports, and data ...

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Internship Text Analytics information

What is an internship in text analytics?

An Internship in Text Analytics is a temporary position, often taken by students or recent graduates, where individuals gain practical experience working with techniques to extract meaningful information from large volumes of text data. Interns typically learn how to use natural language processing (NLP) tools, analyze textual datasets, and support projects involving sentiment analysis, topic modeling, or information retrieval. These internships provide hands-on exposure to real-world problems, allowing interns to develop their technical skills and understand how text analytics is applied in industries such as marketing, healthcare, or finance.

What types of projects can an intern expect to work on in a text analytics internship?

As a Text Analytics intern, you can expect to work on projects involving data cleaning, natural language processing, and sentiment analysis. Typical tasks may include extracting insights from large datasets, building or improving machine learning models, and visualizing textual data to support business decisions. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world applications and agile development environments. These projects provide hands-on experience with industry-standard tools and help you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as an internship in text analytics, and why are they important?

To thrive as a Text Analytics Intern, you need a solid background in data analysis, natural language processing (NLP), and statistics, often supported by coursework in computer science or a related field. Familiarity with programming languages like Python, machine learning libraries (such as NLTK or spaCy), and data visualization tools is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and share insights clearly with teams. These skills are crucial for extracting meaningful information from text data and supporting data-driven decisions within the organization.

What is the difference between Internship Text Analytics vs Data Analyst Intern?

AspectInternship Text AnalyticsData Analyst Intern
Required SkillsText processing, NLP basics, data visualizationData analysis, Excel, SQL, basic statistics
Work EnvironmentTech companies, research labs, marketing firmsBusiness, finance, healthcare sectors
Common UsageAnalyzing unstructured text data, sentiment analysisInterpreting structured data, reporting

Internship Text Analytics focuses on analyzing unstructured text data using NLP techniques, while Data Analyst Interns work primarily with structured datasets and statistical tools. Both roles are common in tech and business environments, but they emphasize different data types and skills.

What are popular job titles related to Internship Text Analytics jobs in California?

For Internship Text Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Text Analytics jobs in California look for?

The top searched job categories for Internship Text Analytics jobs in California are:

What cities in California are hiring for Internship Text Analytics jobs?

Cities in California with the most Internship Text Analytics job openings:

Internship Text Analytics jobs near you
Infographic showing various Internship Text Analytics job openings in California as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Machine Learning Engineer II, Computer Vision Applied Science

Pinterest

San Francisco, CA • On-site, Remote

$114K - $157K/yr

Full-time

Re-posted 6 days ago

Job description

The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product.

Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunity to work with Pinterest's unique visual-text datasets to develop large-scale generative models for production. You will join the core visual pod, a collaborative group of approximately six engineers and a product prototyping team, to create specialized evaluation benchmarks and contribute to the broader research community.

What you'll do:

  • Prototype new model architectures for Pinterest VLMs. We're looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities.
  • Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations.
  • Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.
  • Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.
  • Publish and publicize your work via conferences, paper submissions, blog posts, etc. 
  • Mentor more junior researchers or research interns within the Pinterest Labs organization.


What we're looking for:

  • Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs.
  • 2+ years of industry computer vision experience.
  • M.S. or PhD in Machine Learning, Computer Science, or related areas.


Nice to Have:

  • Publications at top ML conferences.
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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