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Director Llm Researcher Jobs (NOW HIRING)

Multimodal LLM Researcher

Palo Alto, CA ยท On-site

$300K - $400K/yr

Multimodal LLM Researcher $300,000 - $400,000 Remote, Palo Alto Full-time / Permanent DeepRec has ... the field - Direct collaboration with product and engineering leadership This role offers the ...

ML Researcher

San Francisco, CA ยท On-site

$150K - $300K/yr

Strong ML fundamentals -- transformers, mechanistic interpretability, LLM research * A high-agency, self-directed, experiment-driven researcher (not RAG- or chatbot-only) * A spiky profile ...

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

Research Scientist - Reality Labs

New York, NY ยท On-site

$184K - $257K/yr

This is a unique opportunity to conduct cutting-edge LLM research with direct product impact - shaping how people interact with the next generation of wearable devices. We are looking for a ...

This is a unique opportunity to conduct cutting-edge LLM research with direct product impact -- shaping how people interact with the next generation of wearable devices.We are looking for a ...

Direct experience with at least one of: large-scale pretraining, post-training (SFT, RL), LLM evaluation design and statistical analysis, or distributed training/inference systems * Research taste ...

The Figma Research team is hiring an Director, Research - AI Evals to own how we measure the ... The ideal candidate brings deep, hands-on experience evaluating AI/LLM-powered products - blending ...

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Director Llm Researcher information

See salary details

$29K

$117.6K

$227.5K

How much do director llm researcher jobs pay per year?

As of Jul 27, 2026, the average yearly pay for director llm researcher in the United States is $117,556.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $169,000.00 per year, depending on experience, location, and employer.

What is the difference between Director Llm Researcher vs Machine Learning Engineer?

AspectDirector Llm ResearcherMachine Learning Engineer
Required CredentialsAdvanced degrees in AI, NLP, or related fields; research experienceBachelor's or Master's in CS, AI, or related fields; coding skills
Work EnvironmentResearch labs, academia, corporate R&D teamsTech companies, startups, product teams
Employer & Industry UsageResearch institutions, large tech firms focusing on NLP and AITechnology companies developing AI products and services

The main difference between a Director Llm Researcher and a Machine Learning Engineer lies in their focus and responsibilities. The Director Llm Researcher primarily leads research initiatives in large language models, often working in academic or R&D settings, requiring advanced research credentials. In contrast, Machine Learning Engineers focus on implementing, optimizing, and deploying ML models in production environments, emphasizing coding and engineering skills. Both roles are vital in AI development but serve different stages of the AI lifecycle.

More about Director Llm Researcher jobs
What cities are hiring for Director Llm Researcher jobs? Cities with the most Director Llm Researcher job openings:
What are the most commonly searched types of Llm Researcher jobs? The most popular types of Llm Researcher jobs are:
What states have the most Director Llm Researcher jobs? States with the most job openings for Director Llm Researcher jobs include:
Infographic showing various Director Llm Researcher job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $117,556 per year, or $56.5 per hour.

Multimodal LLM Researcher

DEEPREC.AI

Palo Alto, CA โ€ข 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.