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Internship Large Language Model Llm Jobs in Nebraska

GE HealthCare

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this role, you will develop scalable AI systems using large language models (LLMs), foundation models, and modern machine learning technologies to automate clinical workflows while ensuring ...

D.A. Davidson

AI & Automation Engineer

Omaha, NE

$90K - $120K/yr

You will work on integrating large language model solutions into enterprise systems, ensuring they are secure, compliant, and deliver real value to end-users. Qualifications: * Education & Experience:

D.A. Davidson

AI & Automation Engineer

Omaha, NE

  • Medical

  • Dental

  • Vision

  • PTO

You will work on integrating large language model solutions into enterprise systems, ensuring they are secure, compliant, and deliver real value to end-users. Qualifications: Education & Experience:

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

  • Retirement

  • PTO

Design, develop, and deploy AI and generative AI solutions, leveraging large language models to ... Guide teams in adopting and building LLM-powered applications, including context engineering ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Publications as first author on LLM, Agentic AI or self supervised learning (SSL). * Demonstrated ... large language models, etc.) * Track record in developing machine learning solutions using massive ...

GE HealthCare

AI Scientist

Bellevue, NE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Publications as first author on LLM, Agentic AI or self supervised learning (SSL). * Demonstrated ... large language models, etc.) * Track record in developing machine learning solutions using massive ...

TEKsystems

Senior AI Engineer

Omaha, NE · Remote

$65 - $100/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop integrations with leading AI platforms and large language model technologies. * Design and ... Experience with LLM integrations, AI workflows, MCP, and RAG architectures. * Hands-on experience ...

New

TEKsystems c/o Allegis Group

Senior AI Engineer

Omaha, NE · On-site

$65 - $100/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop integrations with leading AI platforms and large language model technologies. * Design and ... Experience with LLM integrations, AI workflows, MCP, and RAG architectures. * Hands-on experience ...

New

Vumedi Inc.

Principal Software Engineer

Oak, NE · On-site

$134K - $180K/yr

Prototype and build AI workflows and agents powered by LLMs (Large Language Models) to transform ... Work on applied LLM systems - from intelligent search to AI-driven content agents. * Own your craft

Vumedi Inc.

Senior Software Engineer

Oak, NE · On-site

$122K - $161K/yr

Prototype and build AI workflows and agents powered by LLMs (Large Language Models) to transform ... Work on applied LLM systems - from intelligent search to AI-driven content agents. * Own your craft

Tenaska

Data Governance Engineer

Omaha, NE · On-site

$104K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop AI agents and workflow automation solutions using AI coding tools, large language models (LLMs), APIs, Model Context Protocol (MCP), and enterprise data sources. * Design and implement ...

Tenaska, Inc.

Data Governance Engineer

Omaha, NE · On-site

$104K - $124K/yr

Develop AI agents and workflow automation solutions using AI coding tools, large language models (LLMs), APIs, Model Context Protocol (MCP), and enterprise data sources. * Design and implement ...

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Internship Large Language Model Llm information

What types of projects do interns typically work on during a large language model (LLM) internship?

During a Large Language Model (LLM) internship, interns often participate in projects such as data preprocessing, fine-tuning models on specific tasks, evaluating model outputs, and developing tools for model interpretability. Interns may collaborate closely with research scientists and engineers, contributing to both experimental and production-level code. These projects provide practical experience with natural language processing pipelines and exposure to the latest advancements in AI, making it a valuable learning opportunity for those interested in a career in machine learning and artificial intelligence.

What are the key skills and qualifications needed to thrive as an internship large language model (LLM) specialist?

To thrive as an Internship Large Language Model (LLM) specialist, you need a solid grasp of machine learning fundamentals, natural language processing, and proficiency in programming languages like Python, often supported by coursework or research in computer science or related fields. Familiarity with tools such as TensorFlow, PyTorch, Hugging Face Transformers, and experience using cloud platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and present complex ideas clearly. These competencies are crucial for developing, evaluating, and refining LLMs to create impactful AI solutions.

What is an internship in large language model (LLM)?

An Internship in Large Language Model (LLM) typically involves working with advanced artificial intelligence models like GPT or similar technologies. Interns in this field assist with tasks such as data preparation, model training, evaluation, and deployment of natural language processing applications. They may also contribute to research, experimentation, and development of new model features or performance improvements. This role provides hands-on experience in AI, machine learning, and natural language processing, often requiring knowledge of programming, data science, and AI concepts.

What is the difference between Internship Large Language Model Llm vs Data Scientist Intern?

AspectInternship Large Language Model LlmData Scientist Intern
Required CredentialsRelevant coursework, programming skills, knowledge of NLPStatistics, programming, data analysis
Work EnvironmentAI research labs, tech companies, startupsData analysis teams, tech firms, research institutions
Employer & Industry UsageAI development, NLP projects, machine learningData analysis, predictive modeling, business insights

Both roles involve data and programming skills, but Internship Large Language Model Llm focuses on natural language processing and AI model development, while Data Scientist Interns work on analyzing data to generate insights. The choice depends on your interest in AI/NLP versus data analysis and business applications.

What are the most commonly searched types of Large Language Model Llm jobs in Nebraska? The most popular types of Large Language Model Llm jobs in Nebraska are:
What are popular job titles related to Internship Large Language Model Llm jobs in Nebraska? For Internship Large Language Model Llm jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Internship Large Language Model Llm jobs in Nebraska look for? The top searched job categories for Internship Large Language Model Llm jobs in Nebraska are:
Internship Large Language Model Llm jobs near you
Infographic showing various Internship Large Language Model Llm job openings in Nebraska as of June 2026, with employment types broken down into 5% Internship, 5% As Needed, 14% Full Time, 62% Part Time, and 14% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

AI Engineer

GE HealthCare

Bellevue, NE • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

GE HealthCare rating

8.4

Company rating: 8.4 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

97th of 487 rated machine equipment manufacturers

Job description

Job Description Summary
The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative Are you passionate about applying Generative AI to transform healthcare? GE HealthCare is seeking a Senior Staff AI Engineer to design, build, deploy, and optimize production-grade AI solutions that power next-generation clinical applications. In this role, you will develop scalable AI systems using large language models (LLMs), foundation models, and modern machine learning technologies to automate clinical workflows while ensuring reliability, performance, and responsible AI deployment.
Job Description
About the Role
At GE HealthCare, we are bringing AI- and cloud-based technologies to healthcare by delivering advanced analytics, visualization, multimodal learning, intelligent software, and scalable computing solutions across cloud and edge environments. Our Science & Technology organization develops AI capabilities that improve clinical workflows, enhance provider productivity, and help make healthcare more personalized, precise, and accessible.
What You Will Do
  • Design, develop, and deploy production-ready AI solutions using Large Language Models (LLMs), foundation models, and modern machine learning techniques to automate clinical workflows.
  • Build scalable AI applications leveraging electronic medical records (EMRs), medical waveforms, clinical reports, and other healthcare datasets.
  • Develop robust inference pipelines, model serving infrastructure, and AI services optimized for reliability, scalability, latency, and cost.
  • Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, and inference optimization techniques.
  • Implement responsible AI practices, including model evaluation, robustness testing, monitoring, and human-in-the-loop feedback mechanisms.
  • Collaborate with research scientists and cross-functional engineering teams to transition advanced AI models into production environments.
  • Build reusable software components, APIs, and development frameworks that enable scalable AI application development.
  • Stay current with emerging AI technologies, open-source frameworks, and industry best practices to continuously improve GE HealthCare's AI platform.
Required Qualifications
Education
  • Master's degree in Science, Technology, Engineering, Mathematics (STEM), Computer Science, Artificial Intelligence, or a related technical field with 3+ years of relevant experience, or
  • PhD in a STEM discipline with relevant experience developing production AI systems.
AI & Machine Learning
  • Demonstrated experience building and deploying large-scale Generative AI or foundation model solutions.
  • Experience developing applications using Large Language Models (LLMs), Agentic AI, or self-supervised learning techniques.
  • Strong understanding of modern machine learning techniques including transfer learning, generative models, optimization, and model evaluation.
Software Engineering
  • Strong programming skills in Python and C++.
  • Experience developing scalable, maintainable, production-quality software.
  • Experience designing APIs, distributed services, or cloud-native AI applications.
AI Infrastructure
  • Experience with modern AI frameworks such as PyTorch, Hugging Face, DeepSpeed, Megatron, or PyTorch Lightning.
  • Experience deploying AI workloads using MLOps, ModelOps, or Foundation Model Operations (FMOps) practices.
  • Experience working with large-scale model training or inference infrastructure.
Healthcare Data
  • Experience working with high-dimensional medical imaging, waveform, or time-series clinical datasets.
Preferred Qualifications
  • Experience solving complex engineering problems with ambiguous requirements.
  • Experience deploying large-scale distributed AI systems.
  • Experience with Spark, Hadoop, TensorFlow, or PyTorch in enterprise environments.
  • Experience building production data platforms and AI-powered software applications.
  • Track record of delivering machine learning solutions using large real-world healthcare datasets.
  • Experience optimizing large-scale AI training and inference performance.
Why Join GE HealthCare
Join a global AI engineering organization building production AI systems that improve patient care at scale. You'll work with world-class engineers and scientists across the United States, France, Israel, and India to bring cutting-edge Generative AI capabilities into healthcare products that make a meaningful difference for clinicians and patients worldwide.
Work Environment
Global Collaboration
Our AI teams are located across Bellevue, San Ramon, France, Israel (Tel Aviv), and India (Bangalore), providing opportunities to collaborate across a diverse, global engineering organization.
Work-Life Balance
We value flexibility and recognize that maintaining a healthy work-life balance enables our teams to perform at their best. Our flexible work environment supports both professional success and personal well-being.
Career Growth
You'll collaborate with experienced engineers, researchers, and technical leaders while benefiting from mentorship opportunities across GE HealthCare's global engineering organization.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes

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