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Llm Research Intern Jobs (NOW HIRING)

OpusClip

AI Research Intern

Mountain View, CA · On-site

AI Research Intern We're looking for an AI Research Intern to join our AI team and explore cutting ... LLM post-training (e.g. SFT, RLHF, DPO) Applied AI Engineering * Build AI-powered product features ...

Samaya AI

ML Research Intern

Mountain View, CA

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge ... Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents ...

Alinia AI

Applied AI Research Intern

Applied AI Research Intern We are an early-stage AI startup on a mission to enable the safe and ... Co-founders Ari and Carlos come from leading ML platform at Twitter and LLM governance at Hugging ...

Trunk Tools

Research Intern

Redmond, WA · On-site +1

About Job Research Intern - Healthcare AI Location: United States (Redmond, WA, or Palo Alto, CA ... Medical LLM Familiarity: Experience working with or fine-tuning domain-specific Medical Large ...

Centific

Research Intern

Redmond, WA · On-site

About Job Research Intern - Healthcare AI Location: United States (Redmond, WA, or Palo Alto, CA ... Medical LLM Familiarity: Experience working with or fine-tuning domain-specific Medical Large ...

OpusClip

AI Research Intern

About the Role We're looking for an AI Research Intern to join our AI team and explore cutting-edge ... LLM post-training (e.g. SFT, RLHF, DPO) Applied AI Engineering * Build AI-powered product features ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

The intern will also have the opportunity to reshape Samaya's key product roadmap using their ... Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents ...

Trunk Tools

Speech Research Intern-2

$45/hr

About Job PhD Research Intern - Speech AI Centific AI Research Full Time 40 hours per week Role ... Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM ...

Centific

Speech Research Intern-2

$45/hr

About Job PhD Research Intern - Speech AI Centific AI Research Full Time 40 hours per week Role ... Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM ...

Centific

Speech Research Intern-2

$45/hr

About Job PhD Research Intern - Speech AI Centific AI Research Full Time 40 hours per week Role ... Prototype a conversational SLM using an SSL speech encoder and a compact adapter on an existing LLM ...

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How much do llm research intern jobs pay per month?

As of Aug 26, 2026, the average monthly pay for llm research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What is an LLM Research Intern?

An LLM Research Intern is a student or early-career professional who assists in research and development related to large language models (LLMs), such as GPT or BERT. Their responsibilities typically include conducting literature reviews, implementing machine learning models, analyzing data, and collaborating with senior researchers to improve the performance and capabilities of LLMs. This role is ideal for individuals interested in artificial intelligence, natural language processing, and advancing state-of-the-art language technologies.

What types of projects do LLM Research Interns typically work on, and how much autonomy do they have in designing experiments?

LLM Research Interns often contribute to cutting-edge projects such as developing novel architectures, enhancing model efficiency, or evaluating bias and fairness in language models. Interns are usually paired with experienced researchers and engineers, collaborating closely within a team while also having the opportunity to propose and test their own ideas. While guidance is provided, interns are encouraged to design and run experiments independently, fostering both learning and innovation. This balance of mentorship and autonomy allows interns to make meaningful contributions while developing their research skills.

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

To thrive as an LLM Research Intern, you need a solid background in machine learning, natural language processing, and programming languages such as Python, typically supported by ongoing or completed coursework in computer science or a related field. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow), version control systems like Git, and familiarity with large language model architectures are highly valuable. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help interns contribute meaningfully to research projects. These competencies enable interns to support innovative research, efficiently tackle complex tasks, and integrate well within interdisciplinary AI teams.
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Llm Research Intern jobs near you
Infographic showing various Llm Research Intern job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

AI Research Intern

Mountain View, CA • On-site

OpusClip
See more jobs at OpusClipexternal

Other

Re-posted 4 days ago

Job description

AI Research Intern

We're looking for an AI Research Intern to join our AI team and explore cutting-edge research across multimodal AI, LLMs, computer vision, speech, and agent systems. You'll work across OpusClip, AgentOpus, and our next-generation AI products, collaborating closely with AI researchers and engineers to investigate emerging technologies, build research prototypes, and ship features used by millions of creators worldwide.

AI Research & Model Development

  • Research and develop deep learning models in one or more of the following areas, depending on product priorities:
    • Computer vision (e.g. video enhancement, super-resolution, restoration)
    • Speech & audio (e.g. speech enhancement, voice cloning, voice generation)
    • Multimodal understanding and generation
    • LLM post-training (e.g. SFT, RLHF, DPO)

Applied AI Engineering

  • Build AI-powered product features by integrating frontier foundation models into production systems through prompt and context engineering strategies and Agent workflows (e.g., using LangChain, RAG frameworks).
  • Collaborate with product and engineering teams to rapidly prototype and ship new AI capabilities across OpusClip and AgentOpus.

Model Evaluation & Benchmarking

  • Design scalable evaluation pipelines for multimodal AI systems.
  • Develop domain-specific benchmarks using automated evaluation methods (e.g. LLM-as-a-Judge) together with task-specific visual, audio, and language quality metrics.

Stay at the Frontier

  • Keep up with the latest AI research and open-source developments.
  • Reproduce state-of-the-art research and translate new advances into production-ready systems.
Basic Qualifications
  • Education: Currently pursuing or recently completing a Master's degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.
  • Deep Learning Foundation: Solid understanding of Transformer architecture and Attention mechanisms; familiarity with mainstream generative model families (GANs, diffusion models, autoregressive models).
  • Media Processing: Familiarity with media processing fundamentals (video and/or audio — e.g., ffmpeg, codecs, signal processing basics).
  • Coding Skills: Strong programming skills in Python. Familiarity with Linux development environments, Git, and data structures.
  • Fluent in English with strong technical reading and writing skills, including the ability to read research papers and write technical documentation.
Hands-on Experience in One or More of the Following
  • Computer Vision (especially low-level vision): e.g., Real-ESRGAN, SwinIR, BasicVSR++, or diffusion-based SR; NTIRE / AIM challenge participation.
  • Voice / speech: voice cleaning (speech enhancement / denoising / separation), voice cloning (TTS / voice conversion), or voice generation.
  • LLM fine-tuning: SFT, RLHF / DPO, LoRA / PEFT, or post-training of open-source models.
Preferred Qualifications
  • Experience building Agent Systems or LLM-powered product features with frontier-model APIs (e.g., ChatGPT, Claude, Gemini). This role contributes to both OpusClip and AgentOpus products.
  • Familiarity with TypeScript is a bonus, helpful for shipping product features.
  • Ownership & execution: Involvement in projects from inception to completion, with strong coding fundamentals; open-source contributions are a plus.
  • Research breadth: Academic background or interest in adjacent areas — video understanding and generation, multimodal systems, agents, and model evaluation / benchmarking.
  • Publications: Involvement or interest in academic research, with a focus on top-tier venues like CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICASSP, Interspeech, AAAI, MM, TIP, TPAMI, ACL, EMNLP etc.

Why Join OpusClip?

  • Build AI products used by millions of creators worldwide.
  • Work on cutting-edge multimodal AI, spanning LLMs, computer vision, speech, and AI agents.
  • Own projects end-to-end, from research and experimentation to production deployment.
  • Collaborate closely with experienced AI researchers and engineers in a fast-moving startup environment.
  • Opportunity to publish research while solving real-world AI problems with meaningful product impact.
  • Flexible remote/on-site internship (3 days/week required, 4+ days/week preferred).

EEO

OpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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