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Full Time 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 ...

David Joseph & Company

ML Researcher

San Francisco, CA

$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 ...

DEEPREC.AI

MLE SpeechLLM Evaluations

San Francisco, CA · On-site

$250K - $350K/yr

Hybrid (3 days onsite) Full-time / Permanent DeepRec has partnered with a high-growth AI company ... The Opportunity You'll join an early Speech LLM team where your work shapes research decisions ...

Traversal

AI Researcher

New York, NY · On-site

$160K - $300K/yr

LLM & Agent Research: Prototype and evaluate prompting strategies, reasoning workflows, and tool ... S. base salary range for this full-time, in-person role in New York is $160,000-$300,000, plus ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

Conduct research and apply cutting-edge technologies to optimize Large Language Models (LLMs) and ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

Conduct research and apply cutting-edge technologies to optimize Large Language Models (LLMs) and ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

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Full Time Llm Researcher information

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$30K

$113.1K

$164.5K

How much do full time llm researcher jobs pay per year?

As of Aug 16, 2026, the average yearly pay for full time 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 are the key skills and qualifications needed to thrive as a full time LLM researcher?

To thrive as a Full Time LLM Researcher, you need a deep understanding of machine learning, natural language processing, and large language model architectures, often supported by an advanced degree in computer science or a related field. Proficiency with Python, deep learning frameworks (like PyTorch or TensorFlow), and experience using large-scale compute resources are typically required. Strong analytical thinking, problem-solving abilities, and clear communication help researchers articulate findings and collaborate effectively. These skills ensure high-impact research, innovative model development, and effective integration of new technologies into real-world applications.

What does a full time LLM researcher do?

A Full Time LLM Researcher studies and develops large language models (LLMs), such as those used in artificial intelligence and natural language processing applications. Their work often involves designing experiments, training models on large datasets, evaluating model performance, and publishing research findings. They may also collaborate with engineers and data scientists to implement and optimize LLMs for real-world applications. This role typically requires strong programming skills, a background in machine learning, and expertise in natural language processing.

What are some common challenges full time LLM researchers face when collaborating with cross-functional teams?

Full Time LLM Researchers often collaborate with engineers, data scientists, and product managers to deploy and refine language models. A common challenge is communicating complex research findings to non-experts, ensuring alignment between research goals and product requirements. Balancing experimental innovation with practical constraints, such as computational resources and project deadlines, can also be demanding. Effective collaboration requires adaptability, strong communication skills, and the ability to translate theoretical advances into applied solutions.

What is the difference between Full Time Llm Researcher vs Part Time Llm Researcher?

AspectFull Time Llm ResearcherPart Time Llm Researcher
Work HoursTypically 35-40 hours per weekLess than 20 hours per week
Employment StatusFull-time employmentPart-time employment
CredentialsUsually requires an LLM degree, relevant research experienceSame as full-time, but may have more flexible qualifications
Work EnvironmentResearch institutions, law firms, universitiesSimilar environments, with flexible scheduling

Full Time Llm Researchers work full-time hours, often with more responsibilities and consistent schedules, while Part Time Llm Researchers have flexible hours with potentially fewer responsibilities. Both roles typically require an LLM degree and involve research in legal fields, but the full-time position offers more stability and engagement.

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Full Time Llm Researcher jobs near you
Infographic showing various Full Time Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% 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

Re-posted 13 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