1

Intern Llm Developer Jobs in Oregon (NOW HIRING)

OR

$30/hr

Help assess the security of AI-driven features and LLM implementations, checking for ... Work closely with software engineers to explain security flaws and guide them on secure coding best ...

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

The intern will work on real-world semiconductor software challenges, focusing on improving AI ... LLM systems and exposure to cross-functional engineering environments. Key Responsibilities ...

The intern will work on real-world semiconductor software challenges, focusing on improving AI ... LLM systems and exposure to cross-functional engineering environments. Key Responsibilities • ...

Using cutting-edge AI and LLM-based techniques to understand user intent, refine queries, and ... Strong programming (Python, Golang) and algorithmic skills. * Solid foundations in machine learning ...

RAG, LLM, information retrieval, Multimodal LLMs. * Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas, transformers, and torch. * Familiarity with the technical ...

Intern Llm Developer information

What are the key skills and qualifications needed to thrive as an Intern LLM Developer, and why are they important?

To thrive as an Intern LLM Developer, you generally need a solid background in computer science, programming (especially Python), and foundational knowledge of machine learning concepts. Familiarity with deep learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and exposure to large language models (LLMs) are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and learn in dynamic team environments. These skills and qualities are vital for contributing to cutting-edge AI projects and rapidly adapting to evolving technologies in the field.

What does an Intern LLM Developer do?

An Intern LLM (Large Language Model) Developer supports the development, testing, and deployment of AI models, specifically large language models like GPT or BERT. Their responsibilities often include data preprocessing, model fine-tuning, writing code to interact with APIs, and evaluating model performance. Interns work under the guidance of senior developers and researchers to gain hands-on experience in natural language processing and AI. This role is ideal for students or recent graduates looking to build practical skills in machine learning and AI development.

What types of projects and learning opportunities can an Intern LLM Developer expect to work on during their internship?

As an Intern LLM Developer, you can expect to participate in hands-on projects involving the development, fine-tuning, or evaluation of large language models (LLMs). Typical responsibilities include data preprocessing, implementing model training pipelines, and collaborating with senior engineers and data scientists to optimize model performance. You'll also have opportunities to contribute to research on natural language processing (NLP) tasks and gain exposure to industry-standard tools and frameworks. This role offers valuable mentorship and the chance to build practical skills in machine learning and AI, setting a strong foundation for a future career in the field.

What is the difference between Intern Llm Developer vs Intern Machine Learning Engineer?

AspectIntern Llm DeveloperIntern Machine Learning Engineer
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fieldsSimilar educational background, often with focus on ML or AI
Work EnvironmentTech companies, AI startups, research labsTech firms, startups, research institutions
Employer & Industry UsageFocused on developing large language models and NLP applicationsDeveloping various ML models, including NLP, computer vision, etc.
Common Search & ComparisonIntern Llm Developer vs Intern Machine Learning Engineer

Intern Llm Developers primarily focus on building and fine-tuning large language models, often specializing in NLP tasks. Intern Machine Learning Engineers have a broader scope, working on various ML models across different domains. Both roles require similar educational backgrounds and are found in tech and AI industries, but their specific focus areas differ.

What are the most commonly searched types of Llm Developer jobs in Oregon? The most popular types of Llm Developer jobs in Oregon are:
What are popular job titles related to Intern Llm Developer jobs in Oregon? For Intern Llm Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Intern Llm Developer jobs in Oregon look for? The top searched job categories for Intern Llm Developer jobs in Oregon are:
Infographic showing various Intern Llm Developer job openings in Oregon as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.
Intern-Web Application Penetration Tester

Intern-Web Application Penetration Tester

Unqork

OR

$30/hr

Other

Posted 10 days ago


Job description

Unqork empowers enterprises to accelerate growth by rapidly building, testing, and running AI-powered applications that embody the future of enterprise development. Trusted by the world's largest organizations in highly regulated industries, these applications become more secure over time while significantly reducing technical debt-allowing businesses to focus on innovation rather than maintenance. Unqork's customers include Goldman Sachs, Marsh, BlackRock, and the U.S. Department of Health and Human Services. 

At Unqork, we value inclusive and innovative thinkers who boldly challenge the status quo. We encourage you to apply!

We are looking to hire an Intern to join our Product Security team .

Title: Intern-Web Application Penetration Tester

Department: Product Security

Reports to: Director, Product Security

Type: Paid Internship $30/hr

We are looking to hire an Intern- Web Application Penetration Tester to join our product security team. This role is designed for rising seniors or a recent college graduate with a strong foundational background in Computer Science or Cybersecurity who wants to transition theoretical knowledge into real-world ethical hacking. In this role, you won't just run automated scanners. You will actively dissect complex web applications, hunt for business logic flaws, and evaluate the security posture of our emerging AI and Large Language Model (LLM) integrations.

What Impact U would make 

  • Vulnerability Assessment & Pentesting: Assist in conducting manual and automated penetration tests on web application and APIs to identify security vulnerabilities (OWASP Top 10).
  • AI/LLM Security Evaluation: Help assess the security of AI-driven features and LLM implementations, checking for vulnerabilities like prompt injection, data poisoning, insecure output handling, and model denial of service (OWASP Top 10 for LLMs).
  • Exploitation & PoC Development: Safely demonstrate the impact of discovered vulnerabilities by creating clear Proof-of-Concept (PoC) exploits.
  • Documentation & Reporting: Write comprehensive, technical security reports detailing findings, exploitation paths, risk ratings, and actionable remediation steps for development teams.
  • Collaboration: Work closely with software engineers to explain security flaws and guide them on secure coding best practices and remediation verification.

What U bring:

  • Currently pursuing an undergraduate or graduate degree in Computer Science, Cybersecurity, or a related field.
  • Demonstrates a strong interest in cybersecurity and a commitment to staying current on emerging threats, security risks, attack vectors, and industry best practices.
  • Possesses exceptional attention to detail and strong organizational skills.
  • Excellent written and verbal communication abilities, with the capacity to convey technical information clearly and effectively.
  • Confident and comfortable collaborating with peers, cross-functional teams, and management-level stakeholders.
  • Proven ability to prioritize and manage multiple responsibilities while working independently in a fast-paced, dynamic environment.

Preferred Traits:

  • Curious and proactive problem solver
  • Process-oriented with a continuous improvement mindset
  • Comfortable working with ambiguity and learning new systems quickly
  • Collaborative team player with a strong sense of ownership

Unqork embraces a culture of security and privacy awareness by consistently safeguarding sensitive information, adhering to company policies, and actively participating in training and initiatives to protect our data and the privacy of our stakeholders. 

Unqork is an equal opportunity employer. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.