ZipRecruiter

Log In

1

Medical Machine Learning Internship Jobs in Missouri

6AM City, LLC

Machine Learning Engineer

California, MO · On-site

$110 - $170/hr

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Comprehensive medical, dental, and vision coverage. * Retirement Plans: Access to a 401(k) plan.

Walmart

Staff, Machine Learning Engineer

Anderson, MO · On-site

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... Health benefits include medical, vision and dental coverage. Financial benefits include 401(k) ...

Walmart

Staff, Machine Learning Engineer

Noel, MO · On-site

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... Health benefits include medical, vision and dental coverage. Financial benefits include 401(k) ...

Walmart

Staff, Machine Learning Engineer

Cassville, MO · On-site

$130K - $260K/yr

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... Health benefits include medical, vision and dental coverage. Financial benefits include 401(k) ...

Jobtailor

Data Science Intern

California, MO · On-site

... internship * At least 6 months experience or academic work using open source programming languages for data analysis * At least 6 months of experience or academic work using machine learning ...

New

Smithfield Foods

Production OSU Intern

Jamesport, MO · On-site

$17.50/hr

... to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers ... Our internships are typically 10 weeks. Hourly Competitive Starting Pay - $17.50/hour Core ...

Smithfield Foods

Production OSU Intern

Jamesport, MO

$17.50/hr

... to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers ... Our internships are typically 10 weeks. Hourly Competitive Starting Pay - $17.50/hourCore ...

Jobtailor

AI Engineer

Troy, MO · On-site

$120 - $180/hr

Build, train, and evaluate machine learning models for classification, prediction, and simulation ... Internship, academic, or project experience building and deploying models or AI features end-to-end

New

previous pagenext page

Showing results 21-40

All JobsMedical Machine Learning JobsMedical Machine Learning Internship JobsMedical Machine Learning Internship Jobs in Missouri

Medical Machine Learning Internship information

What is a medical machine learning internship?

A Medical Machine Learning Internship is a temporary position where students or recent graduates work on projects that apply machine learning techniques to healthcare and medical datasets. Interns typically collaborate with data scientists, clinicians, and researchers to develop algorithms that can assist in diagnosing diseases, predicting patient outcomes, or improving healthcare processes. This role provides hands-on experience with real-world medical data, exposure to regulatory considerations, and the opportunity to contribute to impactful healthcare innovations. Such internships help interns build technical and domain-specific skills, preparing them for future careers in medical data science.

What kinds of projects and responsibilities can I expect during a medical machine learning internship?

As a Medical Machine Learning Intern, you'll typically work on real-world datasets to develop, test, and refine machine learning models aimed at improving healthcare outcomes. Your daily tasks may include data preprocessing, feature engineering, model selection, and performance evaluation under the guidance of experienced data scientists or clinicians. Collaboration is key, as you'll often work with multidisciplinary teams, including software engineers, clinicians, and researchers. This hands-on experience allows you to gain practical skills and contribute to impactful projects that can enhance patient care or medical research.

What are the key skills and qualifications needed to thrive as a medical machine learning intern, and why are they important?

To thrive as a Medical Machine Learning Intern, you need a solid background in statistics, programming (Python or R), and foundational knowledge of machine learning algorithms, typically supported by coursework or a relevant degree in computer science, engineering, or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience working with medical datasets or healthcare IT systems are highly valued. Strong analytical thinking, attention to detail, and effective communication skills will help you collaborate with interdisciplinary teams and present findings clearly. These skills are crucial for developing accurate, impactful models that address real-world healthcare challenges and ensure patient safety.

What are the most commonly searched types of Medical Machine Learning jobs in Missouri?

The most popular types of Medical Machine Learning jobs in Missouri are:

What are popular job titles related to Medical Machine Learning Internship jobs in Missouri?

For Medical Machine Learning Internship jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Medical Machine Learning Internship jobs in Missouri look for?

The top searched job categories for Medical Machine Learning Internship jobs in Missouri are:

What cities in Missouri are hiring for Medical Machine Learning Internship jobs?

Cities in Missouri with the most Medical Machine Learning Internship job openings:

Medical Machine Learning Internship jobs near you

Machine Learning Engineer 727

(EDO) Entertainment Data Oracle, Inc.

Saint Louis, MO • On-site

$120 - $170/hr

Other

Medical, Life, Retirement, PTO

Posted 8 days ago

Job description

Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.

This is a hands‑on engineering position focused on moving models from research into reliable production systems.

Responsibilities
  • Design, train, validate, and deploy machine learning models
  • Build production inference pipelines
  • Optimize model performance and resource utilization
  • Implement MLOps pipelines supporting continuous integration and deployment
  • Build scalable APIs exposing AI capabilities
  • Monitor model drift and operational performance
  • Collaborate with Data Scientists and Software Engineers
  • Deploy AI workloads into AWS cloud environments
  • Support computer vision, NLP, and geospatial AI initiatives
  • Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
  • Assist in implementing integration solutions in collaboration with development team members
  • Facilitate communication between stakeholders to ensure timely and effective requirements execution
  • Ensure activities align with established processes, standards, and mission objectives
  • Contribute to documentation of processes, procedures, integration patterns, and lessons learned
Key Technologies
  • Python
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • MLflow
  • Docker/Podman
  • ECS
  • Lambda
  • SageMaker
Required Qualifications
  • Active TS/SCI clearance (eligible for CI Poly)
  • 1-3 (Junior), 3–7 (Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
  • Experience working directly with customers or stakeholders in a technical or mission environment
  • Strong communication and coordination skills across technical and non‑technical teams
  • Experience gathering and documenting requirements
  • Ability to manage multiple tasks and priorities in a dynamic environment
  • Familiarity with Agile development practices
  • Experience using GitLab or similar tools for collaboration and tracking
Desired Qualifications
  • Experience with computer vision
  • Experience with large language models
  • Geospatial AI experience
  • AWS AI services
  • Experience processing satellite imagery
  • Familiarity with secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • Experience with data mapping or integration workflows (using JSON or other object notation)
  • Familiarity with operational dashboards and metrics reporting
  • Experience supporting customer requirement implementation and/or system integration efforts
What’s in It for You?

Flexible work environment

A team mentality – work with friendly, like‑minded professionals

Work with innovative, cutting edge technologies

Enjoy extremely competitive compensation and benefits

A work‑life balance you can count on

Opportunities to grow and advance your career on our dime

The Benefits You Get with Freedom

Amazing benefits including matching 401k, fully paid medical, and more

Generous paid time off – including paid site closure days

Competitive salary offerings

Paid training and tuition reimbursement

Fully paid life and disability

Company sponsored events (game nights, holiday party, summer party, happy hours)

As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status.

Phone: 410-290-9035

Equal Opportunity Employer, including disabled and veterans.

#J-18808-Ljbffr

Apply