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Internship Full Stack Machine Learning Engineer Jobs in Oklahoma City, OK

asrcfh

Full-Stack Software Developer

Oklahoma City, OK · On-site

ASRC Federal Advanced Research LLC (AFAR) is seeking an experienced Full-Stack Software Developer ... Coordinates with a Technical Manager or more experienced computer scientist or engineer to plan ...

asrcfh

Full-Stack Software Developer

Oklahoma City, OK · On-site

ASRC Federal Advanced Research LLC (AFAR) is seeking an experienced Full-Stack Software Developer ... Coordinates with a Technical Manager or more experienced computer scientist or engineer to plan ...

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 ...

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 ...

Diamondback Energy

SAP Full-Stack Developer

Oklahoma City, OK · On-site

$56.50 - $74.25/hr

Diamondback Energy is seeking an SAP Full Stack Developer with expertise in SAP Fiori, ABAP on HANA, and SAP S/4HANA. This role is crucial for designing, building, and modernizing SAP applications ...

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All JobsFull Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer Jobs in Oklahoma City, OK

Internship Full Stack Machine Learning Engineer information

See Oklahoma City, OK salary details

$41.3K

$125.2K

$177K

How much do internship full stack machine learning engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for internship full stack machine learning engineer in Oklahoma City, OK is $125,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,100.00 and $146,800.00 per year, depending on experience, location, and employer.

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 City, OK?

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

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

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

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

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

Internship Full Stack Machine Learning Engineer jobs near you
Infographic showing various Internship Full Stack Machine Learning Engineer job openings in Oklahoma City, OK as of August 2026, with employment types broken down into 6% Internship, 6% As Needed, 53% Full Time, and 35% Part Time. Highlights an 100% In-person job distribution, with an average salary of $125,196 per year, or $60.2 per hour.

Staff Full-Stack Engineer

Oklahoma City, OK • On-site

ANAUTICS INC
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about ANAUTICS INCexternal

$120 - $150/hr

Other

Posted 6 days ago

Job description

Lead development of secure web applications that combine data, workflows, AI, and decision support.

Impact
  • Ship product surfaces that teams use to understand and act.
  • Set engineering patterns across frontend, backend, data, and cloud systems.
  • Mentor engineers and improve technical quality across the stack.
What you'll do
  • Design and build production web applications, APIs, and integrations.
  • Lead technical decisions around architecture, quality, performance, and security.
  • Partner with product and mission-facing teams to scope and ship features.
  • Review code, mentor engineers, and improve delivery practices.
What we're looking for
  • 8+ years of full-stack or product engineering experience.
  • Strong TypeScript, React, API, database, and production system experience.
  • Experience leading architecture across multiple services or applications.
  • U.S. Citizenship is required.
  • Must be capable of obtaining and maintaining a Top Secret security clearance.
  • Comfort working with ambiguous mission, data, and engineering problems.
  • Strong written communication and ability to explain technical decisions to technical and non-technical teams.
Preferred experience
  • AWS experience is a plus, especially secure cloud, GovCloud, serverless, data, or AI services.
  • AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
  • Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.
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