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Internship Full Stack Machine Learning Engineer Jobs in Oklahoma

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

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

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 ...

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 ...

Turn frontline troubleshooting into a continuous learning system that makes machines smarter ... Not a chatbot bolted onto a PDF, but a full-stack system that ingests manuals, logs, historical ...

Turn frontline troubleshooting into a continuous learning system that makes machines smarter ... Not a chatbot bolted onto a PDF, but a full-stack system that ingests manuals, logs, historical ...

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 ...

Turn frontline troubleshooting into a continuous learning system that makes machines smarter ... Not a chatbot bolted onto a PDF, but a full-stack system that ingests manuals, logs, historical ...

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Internship Full Stack Machine Learning Engineer information

What are the key skills and qualifications needed to thrive as an Internship Full Stack Machine Learning Engineer, and why are they important?

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 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 types of projects and responsibilities can I expect as an Internship Full Stack Machine Learning Engineer?

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 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 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:
Infographic showing various Internship Full Stack Machine Learning Engineer job openings in Oklahoma as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Sr. Staff Software Engineer (Full Stack Software Discipline Lead)

Sr. Staff Software Engineer (Full Stack Software Discipline Lead)

Northrop Grumman Corporation

Oklahoma City, OK • On-site

Full-time

Medical, Life, PTO

Posted 29 days ago


Northrop Grumman rating

8.1

Company rating: 8.1 out of 10

Based on 349 frontline employees who took The Breakroom Quiz

109th of 527 rated manufacturers


Job description

RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

The Northrop Grumman AeronauticsSector (NGAS) Software Engineering Center of Technical Excellence (CoTE) is creating an EverythingasCode (XaC) ecosystem powered by an AIaugmented workforce and a resilient software factory. Our mission is to delivermission effects at the speed of relevanceby continuously evolving the tools, processes, training, and metrics that make the softwareengineering ecosystem efficient, measurable, and futureready. As a leader in the CoTE team you will be at the heart of this transformation, driving relentless improvement and ensuring our software capabilities not only meet but anticipate emerging challenges - and turn them into strategic opportunities.

TheSoftware Engineering CoTEorganizationisseekingaSr. Staff Engineer Softwareto leadtheFull Stack Software Discipline area. This key leadership role reports to the Aeronautics Systems (AS) Software Systems Capabilities Director in the Software Engineering CoTE organization.

The Full Stack Software Discipline Lead is the senior technical authority for the governance of the tools, processes, training, and performancemetric ecosystem that enables NGAS teams to design, develop, and sustain a wide range of software technologies that are used in subsystems such as, but not limited to groundbased missionplanning, commandandcontrol, datadissemination, and training software.

This position supports all the Aeronautics Systems business divisions, at all of the Aeronautics Systems primary geographic sites including: Melbourne, FL; Palmdale, CA; San Diego, CA; and South Bay (El Segundo / Redondo Beach / Manhattan Beach), CA; Oklahoma City, OK. This position is geographically flexible and can be based out of any one of the 5 locations listed above.

The Lead does not own daytoday coding or system integration; instead, the role architects, sustains, and continuously improves the tools, process, training, and metrics creating an enabling environment that product teams use.

Core Responsibilities include:

  • Provide leadership and define strategic vision for technical priorities within Software discipline, aligned to long-term sector strategy.

  • Regularly interface with EI&E discipline leads to identify program needs and close gaps in engineering tools, processes, digital solutions, and technical training.

  • Lead the development, deployment, and sustainment of sector-wide engineering tools, standardized processes, digital solutions, and technical training-- ensuring they are relevant, scalable, and interoperable across programs.

  • Build and sustain a strong Software Community of Practice (CoP), ensuring alignment of sub-CoPs, strategies, and priorities while fostering collaboration across programs and sub-disciplines.

  • Act as a trusted advisor to help resolve technical performance shortfalls through root cause analysis, corrective action planning, long-term verification of improvement.

  • Capture, share, and embed lessons learned and best practices across programs to continuously raise the bar for technical performance.

Core Technical Competencies:

  • Cloud & Distributed Computing: Cloud platforms (AWS, Azure, OpenStack), containerization (Docker, OCI), Kubernetes, servicemesh (Istio), CI/CD (Jenkins, GitLab, Azure DevOps), IaC (Ansible).

  • Geospatial Engineering: GIS data formats (DTED, GeoTIFF, OGC standards), CesiumJS, WebGL, maptiling services, spatialdatabase (PostGIS), coordinatesystem transformations, terrainrendering pipelines.

  • Engineering Foundations: Human-Machine interface, Human Factors Engineering, and CI-integrated security scanning.

  • Software Construction: Java, Web Frameworks, UI/UX Standards.

  • Human Factors Engineering (HFE): MILSTD1472, taskanalysis methodologies, workloadassessment tools, usability testing frameworks (Selenium, Cypress), cognitiveload metrics, UIdesign systems, accessibility (WCAG).

  • Interoperability Standards: Universal Command Interface (UCI), STANAG4586, NATO/DoD message protocols, API design, and dataformat standards.

  • Cross-Domain Governance: Ground systems often sit at the boundary between networks at different classification and compartment boundaries. This discipline lead drives the process for Cross-Domain Solutions (CDS), ensuring data flows securely between security enclaves without spillage.

  • Cybersecurity Governance: RMF/NIST 800-53: Common software and infrastructure reuse opportunities; automated security-control assessment tools; continuous monitoring pipelines.

  • Open Systems Architectures: Proficiency in OMS, Universal Command and Control Interface (UCI), and other GRA standards; ability to define and integrate interoperable serviceoriented components.

What You'll Achieve:

  • Accelerate the process of delivering Full Stack software based subsystems, such as Ground Systems & C2 Software, Training Systems, Mission Planning, etc. by>15% through a unified, governed toolprocesstraining ecosystem that enables early validation on highfidelity digital twins.

  • Raise softwareengineering productivity and safety metrics across NGAS programs - by measurable via KPIs such as defect density, testcoverage %, meantimetodetect, and tooluptime.

  • Create a vibrant, crossprogram Community of Practice for your discipline area that spreads best practices and lessons learned across programs, fosters increased software reuse, and improves the disciplines overall capabilities.

  • Champion the tools, processes, training, and metrics for all subsystems that are primarily using full stack software technologies, , ensuring they remain stateoftheart, secure, and fully aligned with DoD strategic objectives (JADC2, Anywhere C2, multivehicle swarm).

Our Leaders at Northrop Grumman live our values daily and encourage our teams to do the same. We do the right thing: upholding the highest ethical standards and facilitating a safe and respectful environment that attracts, retains, and inspires a diverse and engaged team. We do what we promise: holding yourself and others accountable to meet predictable and balanced results. We commit to shared success: operating as OneNG and removing barriers for our teams. Finally, We pioneer: setting a vision that shapes the future and inspires others.

Basic Qualifications:

  • Must have a Bachelor's degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and 14 or more years of experience in software engineering OR a Master's degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and 12 or more years of experience in software engineering OR a PhD in a STEM discipline and 9 years of software engineering experience

  • Subject Matter Expert in one or more technology areas:

    • Front end client-side languages/frameworks such as HTML, CSS, JavaScript, React or TypeScript

    • Back-end server-side programing languages such as Python, Java, Node.js

    • API design experience such as REST, GraphQL or gRPC

    • Database knowledge in either SQL, NoSQL or MongoDB

    • Networking basics, such as HTTP or websockets

    • Cloud platforms such as AWS, Azure and containerization

  • Subject Matter Expert in one or more Core Technical Competency areas:

    • Geospatial Engineering

    • Human Factors Engineering (HFE)

    • Interoperability Standards

    • Cross-Domain Governance

    • Cybersecurity Governance

    • Open Systems Architectures

  • Must have an active U.S. government Secret clearance that is in-scope (granted or renewed in the last 6 years) and eligibility for TS/SCI

  • Must be able to attain and maintain Special Program Access (PAR)

  • Ability to travel as needed (approx. 25%)

Preferred Qualifications:

  • Subject Matter Expert in many of the follow technology areas:

    • Front end client-side languages/frameworks such as HTML, CSS, JavaScript, React or TypeScript

    • Back-end server-side programing languages such as Python, Java, Node.js

    • API design experience such as REST, GraphQL or gRPC

    • Database knowledge in either SQL, NoSQL or MongoDB

    • Networking basics, such as HTTP or websockets

    • Cloud platforms such as AWS, Azure and containerization

  • Subject Matter Expert in most of the Core Technical Competency areas:

    • Geospatial Engineering

    • Human Factors Engineering (HFE)

    • Interoperability Standards

    • Cross-Domain Governance

    • Cybersecurity Governance

    • Open Systems Architectures

  • Demonstrated experience leading engineering tools, process, training, and/or metrics optimization using a continuous improvement mindset

  • Demonstrated Strategic, systems-level thinker who can build alignment across functional and program boundaries

  • Active TS/SCI

  • Current Special Program Access (PAR)

  • Advanced degree in a relevant field (MS/PhD)

Pay Ranges by Location:

Oklahoma: $157,800 - $236,600

Florida: $166,500 - $249,700

California: $192,800 - $289,200

Primary Level Salary Range: $157,800.00 - $289,200.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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About Northrop Grumman

Sourced by ZipRecruiter

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible.

Industry

Space research administration

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US

Year founded

1939