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Llm Researcher Jobs (NOW HIRING)

DEEPREC.AI

Multimodal LLM Researcher

Palo Alto, CA · On-site

$300K - $400K/yr

Multimodal LLM Researcher $300,000 - $400,000 Remote, Palo Alto Full-time / Permanent DeepRec has partnered with a high-growth generative AI company (Series B, $130M+ raised). They're building ...

Spellbrush

AI Anime Researcher - LLM

San Francisco, CA · On-site

As an early member of this team, you will have significant artistic and research freedom to shape what could become the next-generation LLM-driven storytelling experience. Why You'll Love Working ...

Spellbrush

AI Anime Researcher - LLM

San Francisco, CA · On-site

As an early member of this team, you will have significant artistic and research freedom to shape what could become the next-generation LLM-driven storytelling experience. Why You'll Love Working ...

David Joseph & Company

ML Researcher

San Francisco, CA · On-site

$150K - $300K/yr

San Francisco, CA · On-site · Full-time Compensation: $150,000-$300,000 + 0.5%-1% equity About the Company Our client does LLM interpretability and context-optimization research, building custom ...

Cypress HCM

LLM Research Engineer

Mountain View, CA

$90 - $121.86/hr

LLM Research Engineer Key Responsibilities: * Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications. * Conduct research on cutting-edge techniques in ...

NOUS RESEARCH

Research Scientist

New York, NY · On-site

Direct experience in generative AI and LLM research * Experience in developing and debugging in Python * Desire to make the first multimodal "all-in-one" AGI model

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Llm Researcher information

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$30K

$113.1K

$164.5K

How much do llm researcher jobs pay per year?

As of Jul 27, 2026, the average yearly pay for llm researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What does a typical workday look like for an LLM Researcher?

A typical workday for an LLM Researcher involves designing experiments, training and fine-tuning large language models, and analyzing model outputs using various evaluation metrics. You will often read and discuss recent research papers, collaborate with software engineers and data scientists, and present findings to your team or at industry meetings. The role may also involve publishing research, contributing to open-source projects, or mentoring junior researchers. This collaborative and fast-paced environment offers ample opportunities to push the boundaries of AI language technology while working alongside leading experts in the field.

What are the key skills and qualifications needed to thrive in the Llm Researcher position, and why are they important?

To thrive as an LLM Researcher, a strong background in machine learning, natural language processing, and computational linguistics is essential, often backed by an advanced degree in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, experience training and evaluating large-scale language models, and publication experience in relevant conferences or journals are highly valued. Analytical thinking, creativity, effective communication, and collaboration are key soft skills that distinguish top performers. These capabilities are crucial for developing innovative language model solutions, advancing research, and contributing to high-impact projects within interdisciplinary teams.

What is an LLM Researcher job?

An LLM Researcher is a specialist who studies and develops large language models (LLMs), such as GPT. Their work involves improving model architectures, training methods, and fine-tuning techniques to enhance performance and efficiency. They often analyze LLM behavior, mitigate biases, and optimize models for specific applications. This role requires expertise in machine learning, natural language processing (NLP), and deep learning frameworks.

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Llm Researcher jobs near you
Infographic showing various Llm Researcher job openings in the United States as of July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Multimodal LLM Researcher

DEEPREC.AI

Palo Alto, CA • On-site

$300K - $400K/yr

Full-time

Posted 23 days ago

Job description

Multimodal LLM Researcher
$300,000 - $400,000
Remote, Palo Alto
Full-time / Permanent
DeepRec has partnered with a high-growth generative AI company (Series B, $130M+ raised). They're building multimodal, multi-agent systems that combine language, vision, audio, and video. If you've been looking for a role where your research reaches production and shapes how millions interact with creative AI, this is worth a closer look.
You'll help define the next generation of multimodal AI systems. Your work will span research, experimentation, and deployment, with a focus on real-time performance, multimodal reasoning, and agent-based workflows. You'll have the freedom to explore ambitious ideas while working alongside engineers who can bring them into production.
What You'll Do
- Lead research across LLMs, VLMs, and Audio Language Models
- Design novel multimodal model architectures and training approaches
- Improve real-time inference across text, image, audio, and video
- Train and fine-tune autoregressive and diffusion models
- Build and curate high-quality multimodal datasets
- Collaborate with engineering teams to deploy research outcomes
- Publish findings at leading AI conferences and journals
What You'll Bring
Essential
- Strong research track record in multimodal AI or foundation models
- First-author publications at recognised ML, vision, or audio conferences
- Deep expertise in LLMs, VLMs, Audio LMs, or related fields
- Strong Python and deep learning experience using modern frameworks
Desirable
- Experience with diffusion models or world models
- Background in real-time AI systems and model serving
- Experience building large-scale multimodal datasets
We encourage you to apply even if you don't meet every requirement. The right mindset matters as much as the right CV.
What's In It For You
- USD 300,000-400,000 salary
- Fully remote working arrangement
- Ownership of research that shapes production systems
- Opportunity to publish and contribute to the field
- Direct collaboration with product and engineering leadership
This role offers the chance to work on multimodal AI problems that sit at the intersection of research and real-world deployment. If you're excited by advancing the field while seeing your work reach users, we'd love to hear from you.

Apply