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Remote Llm Engineer Intern Jobs in Oregon (NOW HIRING)

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance ...

Staff Software Engineer, Applied AI

OR ยท On-site +1

$200K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and build agentic LLM pipelines that power AI features across the product. * Build full ... We are remote-first with a dedicated NYC office and reimbursement options for co-working spaces.

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... You'll build multi-agent architectures, LLM integrations, and backend services that connect AI ...

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ... LI-SS2 LI-REMOTE

Enterprise Performance Analytics Engineer

OR ยท On-site +1

$80K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Minimum Experience: * 1-3 years of experience in a data-related role (e.g., data analyst, data engineering intern, analytics engineer) How We Work Together * Location : Remote within the United ...

Staff Machine Learning Engineer

OR ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

$15 - $20/hr

Our data security posture management platform is engineered specifically to address modern data ... Remote Duration: 10-12 weeks (Summer 2025)

$16 - $21.25/hr

Our data security posture management platform is engineered specifically to address modern data ... Remote Duration: 10-12 weeks (Summer 2025)

$16 - $21.25/hr

Our data security posture management platform is engineered specifically to address modern data ... Remote Duration: 10-12 weeks (Summer 2025)

Senior Support Engineer

OR ยท On-site +1

Global Services & Delivery Location: [Remote / Hybrid - specify] Reports to: Head of Customer ... Demonstrated experience building or tuning automation or agentic and LLM-based support tooling, or ...

Senior Machine Learning Engineer

OR ยท On-site +1

$205K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Senior Engineer, Test Automation

OR ยท On-site +1

$130K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Evaluate and apply AI-assisted testing techniques, such as LLM-based test generation and ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

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Remote Llm Engineer Intern information

What is a remote LLM engineer intern?

A Remote LLM Engineer Intern is a student or early-career professional who works remotely to support the development and implementation of Large Language Models (LLMs), such as GPT or BERT. Their responsibilities often include data preprocessing, model training, fine-tuning, evaluation, and contributing to codebases for AI-driven applications. Interns collaborate with senior engineers and researchers, learning best practices in natural language processing and machine learning, while gaining hands-on experience with cutting-edge technologies. This role is typically offered by tech companies, research labs, or AI startups and allows interns to contribute to projects from anywhere with internet access.

What are the typical projects and responsibilities for a remote LLM engineer intern?

As a Remote LLM Engineer Intern, you can expect to work on tasks such as fine-tuning large language models, evaluating model outputs, and implementing improvements to existing NLP pipelines. Interns often collaborate with data scientists, machine learning engineers, and product teams to develop and test new features or workflows. A typical week may involve coding experiments, analyzing datasets, addressing model bias or performance issues, and participating in virtual team meetings. This role offers hands-on experience with state-of-the-art language models and exposure to the latest advancements in AI.

What are the key skills and qualifications needed to thrive as a remote LLM engineer intern, and why are they important?

To excel as a Remote LLM Engineer Intern, you need a solid background in computer science fundamentals, proficiency in Python, and experience with machine learning or natural language processing, often supported by relevant coursework or internships. Familiarity with deep learning frameworks such as PyTorch or TensorFlow, and version control systems like Git, is usually required. Strong problem-solving abilities, self-motivation, and the ability to communicate technical concepts remotely are essential soft skills. These competencies enable interns to contribute effectively to LLM projects, adapt to remote collaboration, and develop solutions in a rapidly evolving AI field.

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

AspectRemote Llm Engineer InternRemote Machine Learning Engineer Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fields; familiarity with NLP and LLMsSimilar educational background; focus on ML algorithms, data processing, and software engineering
Work EnvironmentRemote internship, often in tech companies developing NLP or AI productsRemote internship, in companies working on ML applications across industries
Employer & Industry UsageUsed in AI startups, research labs, and tech giants focusing on NLP and language modelsCommon in tech firms, research institutions, and companies deploying ML solutions

The main difference between a Remote Llm Engineer Intern and a Remote Machine Learning Engineer Intern lies in their focus areas. The Llm Intern specializes in language models and NLP-specific tasks, while the ML Intern has a broader scope in machine learning applications. Both roles require similar educational backgrounds and are typically remote internships in tech-driven environments.

What cities in Oregon are hiring for Remote Llm Engineer Intern jobs?

Cities in Oregon with the most Remote Llm Engineer Intern job openings:

Software Engineer (US-Remote)

Gnostech LLC

OR โ€ข On-site, Remote

Full-time

Re-posted 6 days ago


Job description

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Careers >> Software Engineer (US-Remote)
Software Engineer (US-Remote)
Summary
Title: Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area
Description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.

Overview

Location

  • US-Remote or Marlton, NJ area

Job Title

  • Software Engineer

Salary

  • Commensurate with industry position, depending on experience

Shift

  • Typical: Monday through Friday 9am to 5pm

Travel

  • Less than 5%

Position Responsibilities

  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance

  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills

  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications

  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required

  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience

  • 2+

===============================================================

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.govย 
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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