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Junior Llm Researcher Jobs (NOW HIRING)

Junior

Senior Product Manager

New York, NY · On-site

$190K - $230K/yr

About Junior We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private ...

Junior

Product Manager

New York, NY · On-site

$170K - $190K/yr

About Junior We're building cutting-edge LLM-powered tools that supercharge investment research for the world's most demanding deal teams. Our clients include several of the top 10 global private ...

Paradigm Health, Inc.

NY · On-site

$120 - $180/hr

Paradigm Health is rebuilding the clinical research ecosystem by enabling equitable access to ... For senior applicants: mentor and support junior data scientists -- providing guidance on ...

Nvidia

$135K - $181K/yr

Mentor senior and junior engineers, set technical direction for memory and storage subsystems, and ... Excellent communication skills and prior experience leading cross-functional efforts with research ...

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Junior Llm Researcher information

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$29K

$57.7K

$124.5K

How much do junior llm researcher jobs pay per year?

As of Sep 3, 2026, the average yearly pay for junior llm researcher in the United States is $57,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What is a junior LLM researcher?

Junior LLM Researchers are early-career professionals who assist in the development, evaluation, and improvement of large language models (LLMs) like GPT or BERT. Their responsibilities often include data collection, model fine-tuning, conducting experiments, and analyzing results under the guidance of senior researchers. They typically have a background in computer science, machine learning, or related fields and work as part of research teams in academia or industry. This role helps them gain hands-on experience and deepen their understanding of natural language processing and AI research.

What are the key skills and qualifications needed to thrive as a junior LLM researcher, and why are they important?

To thrive as a Junior LLM Researcher, a solid foundation in machine learning, natural language processing, and programming (typically Python) is essential, often backed by a relevant degree in computer science or a related field. Familiarity with deep learning frameworks such as PyTorch or TensorFlow and experience with large language model libraries like Hugging Face Transformers are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help researchers collaborate and convey complex ideas. These competencies are crucial for advancing research, developing innovative models, and contributing to the progress of AI technologies.

What are some typical challenges faced by junior LLM researchers when collaborating with senior team members?

Junior LLM Researchers often encounter challenges such as bridging the knowledge gap with more experienced colleagues and adapting to established research methodologies. Navigating complex discussions about model architectures or experimental design can be daunting, but these interactions offer valuable learning opportunities. Proactive communication and openness to feedback are essential, as is seeking clarification when needed. Most teams encourage knowledge sharing, so junior researchers are supported in their growth while contributing fresh perspectives to group projects.

What is the difference between Junior Llm Researcher vs Data Scientist?

AspectJunior Llm ResearcherData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some experience in NLP or MLBachelor's or higher in CS, Statistics, or related field; experience in data analysis and ML
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLPTech companies, finance, healthcare, or any industry using data analysis
Employer & Industry UsagePrimarily in AI research, academia, and R&D teamsAcross industries for data analysis, predictive modeling, and decision-making

The main difference is that Junior Llm Researchers focus on developing and improving large language models, often in research settings, while Data Scientists analyze data to inform business decisions. Both roles require a strong foundation in programming and ML, but their applications and focus areas differ.

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Junior Llm Researcher jobs near you
Infographic showing various Junior Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 70% In-person, 15% Hybrid, and 15% Remote job distribution, with an average salary of $57,652 per year, or $27.7 per hour.

Senior Staff AI Research Scientist

Intuit

Mountain View, CA • On-site

$226K - $306K/yr

Full-time

Re-posted 5 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

105th of 247 rated software companies

Job description

Overview

Intuit's AI Research team develops novel AI/ML solutions that power intelligent experiences across Intuit's ecosystem of products. The team conducts applied and fundamental research across areas including decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, and LLM-based reasoning for business decision workflows, partnering with product and platform teams to translate research breakthroughs into customer value.

We are looking for a Senior Staff AI Research Scientist to shape and drive the research agenda in one or more of these areas. In this role, you will lead research projects that span multiple workstreams, define technical direction for your area of expertise, and deliver research outcomes that influence Intuit's AI strategy. You will mentor junior researchers, establish collaborations across the organization, and serve as a recognized technical authority both within the team and externally.


Responsibilities

  • Lead and define the research agenda in one or more focus areas, identifying high-impact problems and charting a path from exploration to impact
  • Conduct original research in decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, deep learning, and/or LLM-based reasoning for business decision workflows
  • Drive research programs across multiple concurrent workstreams, providing technical direction and ensuring coherence across projects
  • Publish research findings in top-tier venues and represent Intuit's research contributions to the broader scientific community
  • Collaborate with product and platform teams to translate research innovations into platform or customer-facing AI capabilities
  • Mentor junior researchers, elevating the team's technical depth and research quality
  • Identify and establish strategic research collaborations with academic institutions and external partners
  • Contribute to the team's intellectual culture through reading groups, seminars, and internal knowledge sharing

Qualifications

  • PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field
  • 8+ years of post-PhD research experience in AI/ML, with a strong record of publications in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI, KDD, ACL)
  • Deep expertise in one or more of the following: decision-focused AI, probabilistic modeling, causal inference, simulation-based planning, agentic and multi-agent systems, neuro-symbolic AI, LLM-based reasoning
  • Strong fundamentals in deep learning, optimization, and statistical machine learning
  • Demonstrated ability to lead research projects and to provide technical direction across multiple projects and researchers
  • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)
  • Strong communication and interpersonal skills; ability to influence across teams and present research to both technical and non-technical audiences
  • Track record of translating research into real-world impact in an industry setting


Preferred:

  • Experience as a tech lead in research
  • Active engagement with the research community (program committees, reviewing, workshops)
  • Familiarity with Intuit's product domains: tax preparation, accounting, personal finance, or small business management

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:
Mountain View $226,000 - $306,000
San Diego, CA $211,500- $286,000

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