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Internship Medical Data Encoder Jobs in California

Slope

Data Scientist, Bioengineering

San Francisco, CA · On-site

$150 - $210/hr

... and metrics, and encode domain specific priors and constraints for downstream computational ... disability, medical condition, genetic information, family status, ancestry, citizenship, U.S ...

New

Merge

Data Scientist, Bioengineering

San Francisco, CA · On-site

$140 - $230/hr

... and metrics, and encode domain specific priors and constraints for downstream computational ... disability, medical condition, genetic information, family status, ancestry, citizenship, U.S ...

New

Howard

Assistant/Associate Professor

Seeley, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The candidate will supervise postdocs, students, research assistants, or lab interns conducting ... medical data analytics, utilizing data science and data engineering approaches to convert ...

Neuralink

Neuroengineer, Next Gen

Fremont, CA · On-site

$122K - $226K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to ... Design computational models of and develop encoding strategies for electrical stimulation

Edwards Lifesciences

Senior Data Scientist

Irvine, CA · On-site

$108 - $153/hr

Select and adapt architectures for the modality (vision transformers or encoder-decoder networks ... Depth in time-series or medical imaging modeling, including segmentation and registration, for ...

Tacit

Full-Stack Software Engineer

San Francisco, CA · On-site

$125K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

C/C++ for targeted native improvements, data encoding/transfer, drivers). * A strong product/design ... Comprehensive medical, dental, and vision insurance * Company size: 30-50 people * Unlimited PTO

Neuralink

Neuroengineer, Next Gen

South San Francisco, CA · On-site

$122K - $226K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to ... Develop computational models of, and design encoding strategies for, electrical stimulation

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All JobsMedical Data Encoder JobsInternship Medical Data Encoder JobsInternship Medical Data Encoder Jobs in California

Internship Medical Data Encoder information

What is an internship medical data encoder?

An Internship Medical Data Encoder is a student or recent graduate who assists in converting medical information from patient records into standardized codes used for billing, insurance, and data analysis. This role is typically an entry-level position within healthcare organizations, offered as part of a practical learning experience. Interns learn to use coding systems such as ICD-10 and CPT, work with electronic health records, and ensure the accuracy and confidentiality of patient data. The internship provides valuable hands-on experience and can be a stepping stone to a full-time medical coding or health information management career.

What are the key skills and qualifications needed to thrive as an internship medical data encoder?

To thrive as an Internship Medical Data Encoder, you need attention to detail, strong organizational skills, and a basic understanding of medical terminology, often supported by coursework in health information management or related fields. Familiarity with electronic health record (EHR) systems, medical coding software (such as ICD-10 or CPT codes), and data entry tools is typically required. Excellent communication, time management, and the ability to maintain confidentiality are key soft skills for this position. These competencies ensure accurate data processing, support healthcare operations, and uphold patient privacy standards.

What are some common challenges faced by an internship medical data encoder, and how can they be addressed?

Internship Medical Data Encoders often encounter challenges such as accurately interpreting complex medical terminology and ensuring that data is entered consistently according to specific coding standards. Managing large volumes of patient records while maintaining a high level of attention to detail can also be demanding. To address these challenges, interns should familiarize themselves with coding guidelines, seek clarification from supervisors when uncertain, and utilize available reference materials and software tools. Regular feedback and collaboration with experienced team members can further help interns develop their accuracy and efficiency.

What are the most commonly searched types of Medical Data Encoder jobs in California?

The most popular types of Medical Data Encoder jobs in California are:

What are popular job titles related to Internship Medical Data Encoder jobs in California?

For Internship Medical Data Encoder jobs in California, the most frequently searched job titles are:

What job categories do people searching Internship Medical Data Encoder jobs in California look for?

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Internship Medical Data Encoder jobs near you
Infographic showing various Internship Medical Data Encoder job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer

Escalon Services, LLC.

Santa Monica, CA • On-site

$100K - $120K/yr

Full-time

Medical, PTO

Posted 15 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

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