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Intern Llm Developer Jobs (NOW HIRING)

Hearst

Software Engineer Intern

Tampa, FL · Hybrid

$20/hr

The Software Engineer Intern will support the design, development, and maintenance of scalable ... Familiarity with LLM-based APIs (e.g., Anthropic, Claude Code, OpenAI, AWS Bedrock, or similar ...

SentinelOne

OR · On-site

As an AI Software Engineering Intern, you will own an end-to-end project from idea to functioning ... Develop and evolve LLM-backed features and agentic workflows, focusing on reliability and real ...

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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 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 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 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 May 2026, with employment types broken down into 53% Full Time, 3% Part Time, 1% Temporary, and 43% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

2026 PhD Residency - LLM Harness Engineering for Industrial Systems (Early Stage Project)

X, the moonshot factory

Mountain View, CA • On-site

$109K - $157K/yr

Full-time

Posted 10 days ago

Job description

2 0 2 6 P h D R e s i d e n c y - L L M H a r n e s s E n g i n e e r i n g f o r I n d u s t r i a l S y s t e m s ( E a r l y S t a g e P r o j e c t )
Internship Mountain View, CA
How you will make 10x impact:
General description: A machine learning/artificial intelligence specialist with experience in LLM and agent harnesses for industrial engineering, system engineering and/or chemical engineering
  1. Collaborate with the X Project team to design and develop Agentic LLM approaches to the project's mission
    1. Understand the project's goals and challenges and conduct relevant literature surveys.
    2. Suggest agentic workflow solutions in which approaches/models can apply new and existing project workflows
    3. create/train/evaluate agentic AI models, features, components of large scale Agentic AI systems.
  2. Engage with the Intern community during the program, engaging with the X community, attending colloquia and tech talks.

This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world
  • Location: X's headquarters in Mountain View, CA
  • Start Date(s): Year-round rolling basis
  • Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability

Throughout your AI Residency you can expect:
  • To be embedded into one of our confidential or public X projects
  • To get paid competitively and receive benefits
  • To be a part of a lively community of AI and ML Residents
  • To attend tech-talks with AI leaders from across X

What you should have:
  • Currently enrolled in a PhD program in a STEM field such as CS, Physics, Engineering or Mathematics/Statistics with a strong interest in machine learning and proficiency in general purpose programming.
  • Demonstrated experience working with physical applications, hardware, or modeling real-world physics to build simulated environments or computational "harnesses" for physical equipment.
  • Deep understanding of how state-of-the-art coding agents work internally (e.g., Claude Code, Codex CLI, Gemini CLI).
  • Hands-on experience designing and building LLM-powered agent systems with tool design, context management, and multi-agent coordination.

It'd be great if you also had these:
  • Open-source projects that demonstrate relevant skills and/or publications in relevant conferences and journals (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ICASSP).
  • Experience building verification/feedback loops for LLM agents
  • Experience with harness engineering / context engineering
  • Experience with physics engines, robotics simulators (e.g., MuJoCo, PyBullet, Gazebo), or CAD software to build test environments and digital representations of physical machinery.

Additional public information :
https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25
https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video
The US base salary range for this position is $109,000 - $157,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .

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