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Internship Text Mining Jobs in California (NOW HIRING)

... text report mining, and more! We are currently hiring both full-time and interns to join our R&D team. Responsibilities: * Develop deep learning models for prototyping and production purposes ...

Internship Text Mining information

What are the key skills and qualifications needed to thrive as an Internship Text Mining, and why are they important?

To thrive as an Internship Text Mining, you need a solid background in computer science, statistics, and linguistics, often demonstrated through relevant coursework or a related degree. Familiarity with programming languages like Python or R, experience with natural language processing (NLP) libraries, and tools such as NLTK, spaCy, or TensorFlow are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for extracting meaningful insights from large text datasets and contributing to data-driven decision-making.

What types of projects can an intern expect to work on during a Text Mining internship?

As a Text Mining intern, you can expect to work on a variety of natural language processing (NLP) projects such as extracting insights from large datasets, building and evaluating text classification models, or developing tools to automate data preprocessing. Interns often collaborate closely with data scientists and software engineers, contributing to both research and implementation phases. These projects not only help you build technical skills in machine learning and programming, but also provide exposure to real-world applications like sentiment analysis, document clustering, or information extraction. You'll likely participate in regular team meetings to discuss progress and challenges, gaining valuable feedback from experienced professionals.

What is an internship in text mining?

An internship in text mining is a temporary position, usually for students or recent graduates, where individuals gain hands-on experience working with techniques to extract meaningful information from large amounts of unstructured text data. Interns typically assist with projects involving natural language processing (NLP), data cleaning, and analysis using specialized software and programming languages such as Python. These internships provide valuable exposure to real-world applications of text analysis in industries like technology, healthcare, and finance, helping interns build practical skills and expand their professional network.
What are the most commonly searched types of Text Mining jobs in California? The most popular types of Text Mining jobs in California are:
What cities in California are hiring for Internship Text Mining jobs? Cities in California with the most Internship Text Mining job openings:
Infographic showing various Internship Text Mining job openings in California as of July 2026, with employment types broken down into 2% Internship, 70% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Voxelcloud

Los Angeles, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 hours ago


Job description

Company Description

Founded in 2016, VoxelCloud, Inc. is a Los Angeles-based worldwide leader in AI analysis of medical images.  Backed by Sequoia and Tencent.  We help healthcare providers make better/earlier diagnoses and related clinical decisions, improving outcomes for all.  http://www.voxelcloud.ai

Job Description

The R&D team (located in Los Angeles, CA) is involved with research and development of innovative solutions to medical imaging applications,  including disease detection/quantification in medical scans, disease risk stratification, image synthesis, text report mining,  and more! We are currently hiring both full-time and interns to join our R&D team.

Responsibilities:

  • Develop deep learning models for prototyping and production purposes according to product feature request
  • Design, implement and test model experiments using major deep learning frameworks
  • Document experiments findings and results with supporting summary statistics for peer discussion and review (Confluence)
  • Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
  • Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed
  • Conduct methodology research in deep learning to drive scalable, real-time implementation
Qualifications

Basic Qualifications

  • MS degree in computer science, engineering, or mathematics
  • 2-3 years of relevant experience in building deep learning solutions for computer vision problems
  • Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch
  • Proficient in Python
  • Good CS fundamentals in data structures and algorithm
  • Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
  • Work well in teams and communicate ideas clearly

Preferred Qualifications

  • PhD degree in computer science, engineering, or mathematics
  • 3-5 years of relevant experience in building deep learning solutions for computer vision problems
  • Hands-on experience with state-of-the-art object detection (e.g., RetinaNet, Mask RCNN, CenterNet), semantic segmentation (e.g., U-Net, deeplab), and image classification models (e.g., ResNet, DenseNet).
  • Track record of publications in CV and medical image analysis is a plus
  • Hands-on experience with model optimization (e.g., network quantization and mixed-precision training) is a plus
  • Prior experience with medial images is a plus
Additional Information

We Offer...  

  • An outstanding start-up culture; 
  • Transparent, collaborative work environment;
  • Competitive compensation
  • Excellent Medical, Dental, and Vision coverage
  • 401k, paid Vacation and Holiday

All your information will be kept confidential according to EEO guidelines.