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Internship Large Language Model Llm Jobs in Virginia

Brookfield

Director, Claims Triage

Richmond, VA

The successful candidate will lead the implementation of a Large Language Model (LLM) that will transform the way this team performs its work. The Director also oversees budgeting, talent development ...

PenFed Credit Union

LLM Specialist

Mclean, VA

$16.50 - $21.75/hr

The LLM Specialist serves as PenFed's subject matter expert for Large Language Models (LLMs), Generative AI technologies, and emerging foundation models. This role is responsible for evaluating ...

VTG

AI Architect

Chantilly, VA · On-site

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

VTG

AI Architect

Chantilly, VA

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

VTG

AI Architect with Security Clearance

Chantilly, VA · On-site

Large Language Model (LLM) integrations * Autonomous and semi-autonomous workflows * AI orchestration frameworks * Predictive analytics and traditional ML models Lead the end-to-end AI lifecycle ...

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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 Virginia?

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For Internship Large Language Model Llm jobs in Virginia, the most frequently searched job titles are:

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Internship Large Language Model Llm jobs near you

AI Chief Engineer

Integrity Defense Solutions Inc

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

Description:
We are seeking an experienced AI Chief Engineer to spearhead our AI and Machine Learning initiatives. This role involves leading the development, integration, and deployment of AI solutions that support complex defense operations. The ideal candidate will possess a deep understanding of AI technologies and have a proven track record in leading teams to deliver innovative AI-driven systems. This is a unique opportunity to join a rapidly growing company that provides Artificial Intelligence systems and software engineering services and solutions to DoD clients. This role focuses on technical leadership that includes influencing the company's technical direction regarding AI solutions and product development. Given the start-up nature of IDS, this role also requires flexibility to be able to conduct hands-on software development. This person will work with the Vice President of AI Solutions to rapidly identify, develop, and test AI products and technologies to support specific warfighting requirements. This role will also work with IDS's senior, experienced military operations experts to provide technical expertise and develop AI solutions to support mission requirements.
IDS's AI portfolio spans retrieval augmented generation, constrained large language model (LLM) systems, knowledge graph deployments, explainable AI, and predictive analytics all delivered within classified and DoD-accredited cloud environments including Azure Government, AWS GovCloud, and Google Cloud. The Chief Engineer will lead these capabilities forward across Navy, Marine Corps, Army, Air Force, Space Force, and joint warfighting programs, serving as the company's foremost technical authority on AI system architecture and delivery.
Key Responsibilities:
  • Leadership & Strategy:
    • Define and execute the strategic vision for AI/ML within IDS, aligning with the company's mission and objectives.
    • Lead, mentor, and expand a team of AI engineers, data scientists, and researchers.
    • Foster a culture of innovation, ensuring the team stays at the cutting edge of AI technology.
    • Help shape the technical direction of IDS's AI Solutions line of business.
  • AI/ML Development:
    • Oversee the architecture, design, development, and implementation of AI algorithms, models, and systems tailored to defense applications.
    • Architect and lead the development of knowledge graph systems and constrained LLM solutions tailored to defense operations, ensuring all AI-generated outputs are explainable, traceable, and grounded in authoritative military knowledge sources.
    • Drive the innovation of trusted AI solutions through experimentation, development, integration, and data acquisition.
    • Work closely across IDS teams to ensure AI solutions enhance interoperability, scalability, and performance.
  • Project Management:
    • Manage multiple AI projects from conception through to deployment, ensuring they meet technical standards, budget, and timelines.
  • Stakeholder Engagement:
    • Liaise with military, government agencies, and industry partners to understand requirements, present solutions, and gather feedback.
    • Communicate complex AI concepts and project statuses to non-technical stakeholders effectively.
  • Research and Development:
    • Stay abreast of the latest developments in AI/ML, particularly those relevant to defense and security.
    • Advocate for and integrate new AI technologies that can offer strategic advantages in defense scenarios.
  • Compliance and Security:
    • Ensure all AI development adheres to security protocols, privacy standards, and ethical AI use in defense contexts.
    • Collaborate with security teams to protect AI systems against cyber threats.

Qualifications:
  • High energy individual looking for a fast-moving environment with incredible growth opportunity
  • 8 years of experience architecting, designing, and developing technology solutions to include proven experience in developing AI solutions for defense or security applications.
  • 3 years of experience in AI development, including machine learning, deep learning, natural language processing (NLP), neural networks, computer vision, etc.
  • Demonstrated experience with large language model (LLM) integration and retrieval augmented generation (RAG) techniques within DoD or classified environments.
  • Demonstrated experience deploying AI solutions within DoD-accredited cloud environments such as IL2/IL4/IL5+ platforms (Azure Government, AWS GovCloud, or Google Cloud).
  • 3 years of work experience in a field of endeavor that demonstrates a high level of skill in software systems product development, tool development, software systems testing, or quality assurance.
  • Demonstrated advanced capabilities in a systems programming language and a high-level scripting or analysis language, as well as knowledge of the capabilities and limitations of these languages.
  • Experience leading small software development teams.
  • Experience with software development methodologies such as Agile and DevOps.
  • Lives in the National Capital Region.

Required Education and Skills
  • Minimum 4-year degree in computer science, engineering, mathematics, science, or related fields.
  • Software Engineering, Computer Science, software architecture and programming.
  • Google Cloud Architect and/or other Google Cloud certifications are preferred.
  • Desirable experience, knowledge, and skills include:
    • Work in the fields of data analytics, data visualization, data storage management, or data transformation and description.
    • Knowledge of mathematical modeling and algorithm development and implementation
    • Skills in the development of web-based client-server software architectures and dynamic user interfaces for data-driven web visualization applications.
    • Experience with AI frameworks like TensorFlow, PyTorch, or similar.
    • Strong programming skills in Python, Java, or C++.

Required Clearance: Top Secret Clearance
About Integrity Defense Solutions
Integrity Defense Solutions, founded in 2022, is a rapidly growing engineering services company providing systems and software engineering, program management, and acquisition services to the DoD and federal civilian clients. With a team of experienced entrepreneurs, executives, and leaders, it's demonstrating leadership in the industry and poised for significant growth.
IDS offers competitive full-time benefits, including paid vacation and holidays, 401(k) matching, full health/dental/vision coverage, plus much more. For on-site and remote employees, flexible work schedules are offered when authorized.
By joining our team, you are choosing to embark on a journey towards excellence as a valued team member and trusted partner. We appreciate your inquiry and look forward to discussing the opportunity further.
EOE/Minorities/Females/Veterans/Disabled:
Integrity Defense Solutions, Inc. is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status, or any other status protected by federal, state, or local law. Integrity Defense Solutions, Inc. participates in E-Verify.

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