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Internship Full Stack Machine Learning Engineer Jobs in Oklahoma

Diamondback Energy

SAP Full-Stack Developer

Oklahoma City, OK · On-site

$56.75 - $74.25/hr

Diamondback is seeking an SAP Full Stack Developer with experience in SAP Fiori, ABAP on HANA, and SAP S/4HANA. This role plays a key part in designing, building, and modernizing SAP applications ...

Nebius

$91K - $119K/yr

We are building a full-stack AI cloud platform that supports developers and enterprises from data ... A profound understanding of theoretical foundations of machine learning * Deep understanding of ...

Strayos

$13 - $17.50/hr

Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors ... Engineering, Physics, Computer Science or a related field, within 1 year of completion.

Varsity Tutors

Machine Learning Tutor

Tulsa, OK · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Oklahoma City, OK · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Stillwater, OK · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Cheez

Minimum 2-3 years of software engineering experience * Have built mobile apps (and/or web apps) full-stack before * Enthusiastic about photo sharing and/or AI and/or social media

Cheez

Minimum 2-3 years of software engineering experience * Have built mobile apps (and/or web apps) full-stack before * Enthusiastic about photo sharing and/or AI and/or social media

Cheez

Minimum 2-3 years of software engineering experience * Have built mobile apps (and/or web apps) full-stack before * Enthusiastic about photo sharing and/or AI and/or social media

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Internship Full Stack Machine Learning Engineer information

What is an internship full stack machine learning engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What do internship full stack machine learning engineers do?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What skills and qualifications are needed to thrive as an internship full stack machine learning engineer?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Oklahoma?

The most popular types of Full Stack Machine Learning Engineer jobs in Oklahoma are:

What are popular job titles related to Internship Full Stack Machine Learning Engineer jobs in Oklahoma?

For Internship Full Stack Machine Learning Engineer jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Internship Full Stack Machine Learning Engineer jobs in Oklahoma look for?

The top searched job categories for Internship Full Stack Machine Learning Engineer jobs in Oklahoma are:

What cities in Oklahoma are hiring for Internship Full Stack Machine Learning Engineer jobs?

Cities in Oklahoma with the most Internship Full Stack Machine Learning Engineer job openings:

Internship Full Stack Machine Learning Engineer jobs near you
Infographic showing various Internship Full Stack Machine Learning Engineer job openings in Oklahoma as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Full-Stack Software Developer

ASRC Federal Holding

Oklahoma City, OK • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

242nd of 449 rated engineering

Job description

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
ASRC Federal Advanced Research LLC (AFAR) is seeking an experienced Full-Stack Software Developer to join our Second-Level Engineering (SLE) Compliance and Automation Team that supports the Federal Aviation Administration (FAA) in Oklahoma City, OK. This is a full-time on-site position at the Mike Monroney Aeronautical Center (MMAC).
The SLE Compliance and Automation Team provides a shared engineering and information technology support service for SLE organizations within the Operational Support Directorate. The team contributes to this mission through executing tasks in the areas of automation management of National Airspace System (NAS) engineering and operational processes for documentation, safety risk analysis, systems security, NAS information and data sciences support projects.
Citizenship Requirement
All candidates must have the following to pass the Federal Background Investigation and obtain the FAA Public Trust security clearance.
  • Be a US Citizen.
  • Have resided in the US for three (3) consecutive years.
  • RealID Driver's License/ID or current US Passport.

Relocation Requirement
Candidate must reside or be willing to relocate within a commutable distance to Oklahoma City, OK.
Education & Experience Requirement
All non-US Degrees must have a US Equivalency Certificate provided by the candidate.
  • Bachelor of Science in Computer Science or Mathematics, or a Bachelor's degree in another technical field with a minimum of thirty (30) semester hours in a combination of mathematics, statistics, and computer science.
  • Six (6) to Nine (9) years of related work experience. Other levels may be accepted for the right candidate.
  • Experience with NAS facilities, systems, and equipment is highly desirable.

Required Skills
  • Full-stack development experience; demonstration of knowledge will be required during the interview.
  • Experience in:
    • Programming Languages: Java / J2EE, JavaScript, Ruby, PL / SQL
    • Front-End Technologies: JavaScript, JQuery, HTML/CSS, JSP, Tag libraries
    • Frameworks & Libraries: Spring, Hibernate/Eclipse ORMs, and Ruby on Rails
    • Databases: Oracle / PostgreSQL
    • Version Control & DevOps: GIT, GitLab/GitHub, CI / CD, Maven
    • Web Services / APIs: RESTful services
    • Operating Systems: Windows and Linux (RedHat preferred)
  • Ability to:
    • Work independently, as well as a team.
    • Research and problem solve; willingness to learn/try new things
    • Communicate effectively through verbal and written communication; including developing technical documentation.

Preferred Skills
  • Information Security & Compliance:
    • Information Systems Security / CIS practices
    • Monitoring system performance, security posture & vulnerability
  • Cloud-Native, Architecture & Emerging Technologies:
    • AI Frameworks and knowledge
    • Microservices
    • Containerization
    • Service-Oriented Architecture (SOA)
    • DITA / Open Standard Document concepts
  • Virtualization: VM Ware Virtualization Knowledge

Essential Daily Job Duties
  • Assignments may include but are not limited to: computer software problem identification, problem analysis, solution determination; requirements gathering; computer software solution design, development, integration, and testing; collecting, recording, and analyzing data/information; writing technical/management reports; performing computer software investigation and inspection activities; recommending improvements to the design or operation of systems, equipment, or processes; and providing SME technical support for new system acquisition efforts.
  • Performs multiple, varied, and complex assignments under limited direction.
  • Assists other employees or acts as an individual contributor and/or member of a team.
  • Coordinates with a Technical Manager or more experienced computer scientist or engineer to plan time and use assigned resources to accomplish assignments.
  • Applies experience and advanced technical knowledge applicable to accomplish assignments and to develop plans and techniques to improve programs.
  • Understands how his/her technical area interacts with or is affected by other disciplines and considers the objectives of the external organizations when developing, integrating, and implementing solutions to diverse, complex problems.
  • Contributes to the preparation of technical reports and may communicate the overall results of a project or work activity.
  • Work is reviewed periodically, typically at major milestones and at completion, for technical compliance and alignment with the requirements of the project or other work activity.
  • Work activities typically support and may be vital to the success of projects or activities of one or more organizational units. In some areas, the work may affect the safety and security of customers.

Work Environment
  • Full-time position with a standard work schedule.
  • Situational telework available.
  • 10% travel possible.
  • Cubicle environment.

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
EEO Statement
ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

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