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Remote Llm Engineer Intern Jobs in Oregon (NOW HIRING)

LLM Inference Engineer

OR ยท On-site +1

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential ... We are specifically seeking an expert in high-performance LLM serving systems and inference ...

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 Remote

$200K - $260K/yr

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.

$139K - $168K/yr

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

$139K - $168K/yr

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

$139K - $168K/yr

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

$139K - $168K/yr

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

Senior AI Engineer | US | Remote

OR ยท Remote

$55.25 - $71.25/hr

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 ...

Senior Applied ML Engineer

OR ยท On-site +1

$104K - $143K/yr

The Team Upstart's Applied LLM team is building foundational infrastructure that democratizes ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Enterprise Performance Analytics Engineer

OR ยท Remote

$80K - $110K/yr

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 ...

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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 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 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 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 are popular job titles related to Remote Llm Engineer Intern jobs in Oregon? For Remote Llm Engineer Intern jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Llm Engineer Intern jobs in Oregon look for? The top searched job categories for Remote Llm Engineer Intern jobs in Oregon are:
What cities in Oregon are hiring for Remote Llm Engineer Intern jobs? Cities in Oregon with the most Remote Llm Engineer Intern job openings:

LLM Inference Engineer

Near AI

OR โ€ข On-site, Remote

Other

Re-posted 10 hours ago


Job description

Locations: San Francisco or Remote

About The Role

The NEAR AI team is building decentralized and confidential machine learning infrastructure to enable user-owned AI. Our mission is to build highly scalable and efficient infrastructure for open-source AI at a global scale.

We are specifically seeking an expert in high-performance LLM serving systems and inferenceย optimization. In this role, you will push the boundaries of how large language models areย served.

What You'll Be Doing

  • Architect and maintain production high-traffic LLM serving systems.
  • Optimize throughput, latency, and cost for leading open-source LLMs.

What We're Looking For

  • Strong hands-on experience in LLM inference, with expertise debugging and optimizingย major inference engines such as SGLang, vLLM, or TensorRT.
  • Deep knowledge of state-of-the-art GPU architectures, and effectively exploit them usingย PyTorch, Triton, CuTe, CUDA, etc.
  • Proven track record in designing and maintaining end-to-end high-traffic LLM servingย systems.
  • Strong problem-solving skills and ability to communicate technical ideas clearly.

We'd Love If You Have

  • Experience with Trusted Execution Environments (TEE).
  • Active contributor to open-source LLM inference engines.

Please let us know if you require any special requirements for your interview and we'll do ourย best to accommodate.