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Metadata Internship Jobs in California (NOW HIRING)

Muon Space

Contract Administrator

San Jose, CA · On-site

$66K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... contract metadata and key deadlines across active and legacy files. * Cross-Functional ... including relevant internships), ideally with exposure to a government defense contractor ...

ODK Media

Community / SEO Intern (Unpaid)

Irvine, CA · On-site

Optimize metadata (titles, descriptions, H1/H2 structure) * Improve internal linking strategy ... not a passive internship. You will gain exposure to: * OTT platform growth strategy * FAST ...

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All JobsMetadata JobsMetadata Internship JobsMetadata Internship Jobs in California

Metadata Internship information

What is a metadata internship?

A Metadata Internship is a training position where interns assist with organizing, categorizing, and managing metadata for digital or physical assets. Metadata refers to the descriptive information about data, such as tags, keywords, descriptions, and classifications that improve accessibility and retrieval. Interns may work with databases, content management systems, or digital libraries to ensure metadata accuracy and consistency. This role is common in industries like media, publishing, libraries, and technology, where proper data organization is crucial. It's an excellent opportunity to gain hands-on experience in data management, digital archiving, and information science.

What are the key skills and qualifications needed to thrive in a metadata internship, and why are they important?

To thrive as a Metadata Internship, you need strong organizational skills, attention to detail, and familiarity with data management principles, often supported by coursework in information science or library studies. Knowledge of metadata standards (such as Dublin Core, MARC), experience with database management systems, and proficiency in tools like Excel or specialized content management systems are valuable. Effective communication, critical thinking, and a collaborative mindset help interns excel in team-based projects and resolve data-related challenges. These skills are important for accurately categorizing, managing, and maintaining the quality and accessibility of digital information—a core function in many organizations.

What types of projects or tasks can I expect to work on during a metadata internship?

As a Metadata Intern, you will typically assist with organizing, cataloging, and updating digital assets or records using established metadata standards. Your day-to-day tasks may include reviewing datasets for accuracy, entering descriptive information into databases, and collaborating with team members on data cleanup or migration projects. You might also support quality assurance efforts and participate in meetings about optimizing metadata workflows. This hands-on experience will help you develop technical skills and gain a deeper understanding of how structured data supports larger organizational needs.

What are the most commonly searched types of Metadata jobs in California?

The most popular types of Metadata jobs in California are:

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

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

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

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

What cities in California are hiring for Metadata Internship jobs?

Cities in California with the most Metadata Internship job openings:

Metadata Internship jobs near you
Infographic showing various Metadata Internship job openings in California as of August 2026, with employment types broken down into 13% Internship, 25% Full Time, 49% Part Time, and 13% Temporary. Highlights an 100% In-person job distribution.

Machine Learning Engineer

Escalon Services, LLC.

Santa Monica, CA • On-site

$100K - $120K/yr

Full-time

Medical, PTO

Posted 10 days ago

Job description

Machine Learning Engineer
Application Deadline: 30 September 2026
Department: Recruiting Done
Employment Type: Full Time
Location: Santa Monica
Compensation: $100,000 - $120,000 / year
Description
About Our Client
Our client is a technology company developing next-generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial computing. Their products support mission-critical applications across defense, public safety, and critical infrastructure. They are seeking passionate professionals who thrive in fast-paced environments and enjoy building impactful products from concept to deployment.
The Role
Our client is seeking a Machine Learning Engineer to help design and implement intelligent systems that extract meaning and predictive value from computer vision and behavioral datasets. This is a junior-level, in-person role suited for candidates with 2-3 years of experience and a solid foundation in deep learning, embeddings, and modern neural architectures.
As a member of the AI team, the ideal candidate will work on projects that leverage CNNs, transformer models, and embedding architectures to encode and reason over pose, facial, and action-based visual data. These systems support downstream tasks such as future action prediction, semantic matching, and similarity-based inference.
Key Responsibilities
  • Design and implement machine learning pipelines that encode visual input (pose, face, object/classification) into shared embedding spaces for similarity and predictive tasks.
  • Build and fine-tune convolutional and transformer-based neural architectures optimized for visual recognition and representation learning.
  • Develop encoding and embedding techniques that allow consistent comparison across multiple data types (e.g., pose vectors, facial landmarks, class labels).
  • Apply techniques such as cosine similarity, distance metrics, and latent clustering to perform behavioural inference and action prediction.
  • Contribute to model training, evaluation, and deployment workflows, including data preprocessing, augmentation, hyperparameter tuning, and performance profiling.
  • Collaborate closely with engineers in computer vision, embedded systems, software, and UI/UX to ensure seamless integration of AI pipelines into real-time systems.
  • Produce clean, well-documented code and maintain version-controlled model artefacts and experiment logs.
  • Write technical documentation for models, training procedures, evaluation criteria, and system integration.

Skills, Knowledge and Expertise
  • Bachelor's or Master's degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or a closely related discipline.
  • 2-3 years of experience in machine learning roles through internships, academic labs, or early career positions.
  • Strong understanding of Convolutional Neural Networks (CNNs) for image and video-based tasks.
  • Strong understanding of transformer architectures and their applications in vision or multimodal learning.
  • Strong understanding of embedding systems and vector space modeling for semantic and similarity-based tasks.
  • Strong understanding of encoding mechanisms and dimensionality reduction techniques for latent representation.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Familiarity with pose estimation, facial recognition, or classification models (e.g., OpenPose, MediaPipe, FaceNet, ResNet variants).
  • Experience training models with structured and unstructured visual datasets.
  • Exposure to techniques like cosine similarity, triplet loss, contrastive learning, or temporal prediction modeling.
  • Strong computer science fundamentals, including data structures, algorithms, and software design patterns.
  • Comfort working in Linux-based development environments and version control systems (Git).
  • A collaborative mindset, with excellent communication skills and a willingness to learn across domains.

Bonus (Nice to have):
  • Experience integrating vision-based AI models into embedded or robotics systems.
  • Familiarity with ONNX or TensorRT for model optimization and deployment.
  • Background in sequence modeling, recurrent architectures, or video-based action recognition.
  • Exposure to multimodal AI systems that blend image, pose, and metadata representations.
  • Familiarity with techniques like CLIP, DINO, or self-supervised representation learning.
  • Experience with MLOps or training orchestration tools such as MLflow, Weights & Biases, or DVC.

Other Requirements:
  • Must be a US Citizen or a valid Green Card holder. Visa sponsorship is not available for this role at this time.
  • Candidates must reside within a commutable distance of Santa Monica, California.

Benefits
  • Compensation: $100,000 to $120,000 per year
  • Comprehensive health coverage and flexible PTO
  • Opportunity to work on innovative AI, robotics, XR, and autonomous technologies
  • Collaborative multidisciplinary engineering environment
  • Career growth and professional development opportunities

Apply