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Intern Llm Developer Jobs (NOW HIRING)

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

Our team consists of scientists and engineers, working closely together to define the engineering ... Experience with modern machine learning, including LLMs, LLM interpretability, and generative ...

BillionToOne

Software Engineering Intern

Menlo Park, CA · On-site

$6.0K - $10K/mo

As an intern, you'll work alongside experienced engineers, clinicians, and computational biologists ... Experience with prompt engineering or LLM application development Benefits And Perks: * Working ...

KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

Role Overview We are looking for a curious and motivated Data & Systems Developer Intern to join ... LLM pipelines (e.g., document chunking, metadata tagging, embedding-ready formatting) * Help ...

Etched

DV Intern

San Jose, CA · On-site

Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is ... Familiarity with modern ML and LLM model architectures * UVM or formal verification experience

MaxLinear, Inc.

AI Intern

Carlsbad, CA · On-site

$25 - $40/hr

LLM inference, MCP integration, Robot Framework, Python, and the Jira / Bitbucket / Confluence ... Bachelors of Science, Computer Science, Engineering or similar in progress; Masters student ...

Etched

DV Intern

San Jose, CA · On-site

Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is ... Familiarity with modern ML and LLM model architectures * UVM or formal verification experience ...

Etched

PD Intern

San Jose, CA · On-site

Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is ... Familiarity with modern ML and LLM model architectures * Familiarity with numerical representations ...

Labelbox

Cyber Security Intern

San Francisco, CA

Role Overview As a Security Engineering Intern at Labelbox, you will work closely with our security ... Demonstrated ability to integrate modern AI tools and local LLM agents (such as Cursor or Claude ...

Fujitsu

Agentic AI Research Intern

Santa Clara, CA · On-site

$40 - $50/hr

We are seeking a highly motivated PhD intern to work on LLM-based agents for end-to-end software ... The intern will collaborate with AI researchers and engineers to develop agent systems that can ...

Etched

RTL Intern

San Jose, CA · On-site

Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is ... Familiarity with modern ML and LLM model architectures * Familiarity with numerical representations ...

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

This role provides hands-on experience with applied AI development, backend Application Programming ... LLM-based and agentic AI workflows using LangChain, LangGraph, and/or related design patterns ...

Etched

PD Intern

San Jose, CA · On-site

Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is ... Familiarity with modern ML and LLM model architectures * Familiarity with numerical representations ...

Etched

RTL Intern

San Jose, CA · On-site

Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is ... Familiarity with modern ML and LLM model architectures * Familiarity with numerical representations ...

SWBC

AI Intern

San Antonio, TX

$13.50 - $18/hr

SWBC is seeking talented students to join our College Intern Program in San Antonio, Texas. This is ... with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt engineering ...

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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.

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Intern Llm Developer jobs near you
Infographic showing various Intern Llm Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Neuroengineer Intern

Neuroengineer Intern

Neuralink

South San Francisco, CA • On-site

$35/hr

Other

Posted 26 days ago

Job description

Team Description:

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Neuroengineer Intern on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency. 

Job Description and Responsibilities:

  • Investigate and map neural correlates of sensory and internally-generated states.
  • Build and iterate on advanced machine learning architectures to map neural activity to complex, multi-dimensional outputs.
  • Design, execute, interpret, and communicate the results of experiments, ranging from non-human primate (NHP) electrophysiology to human fMRI studies.
  • Present results in a fast-paced, highly collaborative setting.

Required Qualifications: 

  • Evidence of exceptional ability in neuroscience, machine learning, biomedical engineering, or a related field
  • 2+ years of academic or industry experience
  • A strong understanding of the scientific method and engineering first principles
  • Fluency with Python for data analysis

Preferred Qualifications: 

  • Experience with modern machine learning, including LLMs, LLM interpretability, and generative models.
  • Expertise in analyzing neural population dynamics and applying manifold analysis techniques to high-dimensional neural data.
  • Strong background in neural decoding, particularly in the domains of movement or speech.
  • Experience with human fMRI experimental design, execution, and fMRI data analysis.
  • Experience with in-vivo electrophysiology, particularly awake-behaving recordings in non-human primates (NHP), and/or closed-loop brain-computer interfaces.

Pay Transparency:

Based on California law, the following details are for California individuals only.

California Hourly Rate: 
$35/Hr USD

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