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Entry Level Artificial Intelligence Research Scientist Jobs

Research Scientist

Cupertino, CA · Hybrid

$150K - $300K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Research Scientist in the team, you will conduct research within a specialized focus area and ... Privacy Notice to California Employees and Job Applicants We may use artificial intelligence (AI ...

Senior Research Scientist

Palo Alto, CA · On-site

$115K - $147K/yr

They are seeking a Senior Research Scientist to contribute to the development of cutting-edge AI ... Responsibilities : • Conduct cutting-edge research in artificial intelligence, from frontier LLMs ...

Research Scientist

San Francisco, CA · On-site

$250K - $445K/yr

About the Role As a Research Scientist here, you will develop innovative machine learning ... purpose artificial intelligence benefits all of humanity. We push the boundaries of the ...

ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several ... Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ...

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a Research Scientist, you will develop innovative ...

... and advance artificial intelligence (AI)-based modeling approaches for coastal flooding and ... The Research Scientist will work collaboratively with faculty, graduate students, visiting scholars ...

Showing results 21-40

Entry Level Artificial Intelligence Research Scientist information

See salary details

$50.5K

$130.1K

$174K

How much do entry level artificial intelligence research scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for entry level artificial intelligence research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Artificial Intelligence Research Scientist vs Data Scientist?

AspectEntry Level Artificial Intelligence Research ScientistData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related field; some knowledge of machine learningBachelor's or Master's in CS, Statistics, or related field; strong analytical skills
Work EnvironmentResearch labs, tech companies, academia; focus on developing AI modelsBusiness environments, tech firms; focus on data analysis and insights
Employer & Industry UsageTech companies, research institutions, AI startupsFinance, healthcare, marketing, tech companies

While both roles require a background in computer science and data analysis, an Entry Level Artificial Intelligence Research Scientist primarily focuses on developing and researching AI algorithms, whereas a Data Scientist emphasizes analyzing data to inform business decisions. The former is more research-oriented, often in labs or academia, while the latter applies data techniques directly to business problems.

More about Entry Level Artificial Intelligence Research Scientist jobs
What are the most commonly searched types of Artificial Intelligence Research Scientist jobs? The most popular types of Artificial Intelligence Research Scientist jobs are:
What states have the most Entry Level Artificial Intelligence Research Scientist jobs? States with the most job openings for Entry Level Artificial Intelligence Research Scientist jobs include:
What job categories do people searching Entry Level Artificial Intelligence Research Scientist jobs look for? The top searched job categories for Entry Level Artificial Intelligence Research Scientist jobs are:
Infographic showing various Entry Level Artificial Intelligence Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Full-time

Re-posted 19 days ago


Job description

Job Summary:
MBZUAI is a dedicated research lab focused on advancing AI through foundational models. As a Research Scientist, you will work on data-centric large language model (LLM) development, leading research and implementation efforts to enhance reasoning capabilities and integrate cutting-edge research with robust engineering.
Responsibilities:
• Lead research and implementation of reasoning-enhanced LLM capabilities through novel data collection, architecture design, and system integration.
• Design and implement pipelines to collect, curate, and structure open-source and web-scale data relevant to reasoning tasks, ensuring scalability and reproducibility.
• Build robust software to support fine-tuning, evaluation, and deployment of LLMs that interact with structured and unstructured knowledge bases.
• Collaborate with ML researchers to create, test, and evaluate new approaches in information retrieval, agentic search, and RAG (retrieval-augmented generation) pipelines.
• Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information, and build datasets for identifying and analyzing LLM failure modes.
• Communicate research findings in internal documents and external publications (e.g., top-tier conferences like ACL, ICLR, NeurIPS).
• Contribute to design/code reviews and foster engineering best practices in a high-performance research environment.
• Represent MBZUAI at conferences and forums, promoting institutional leadership in safe, efficient, and high-impact AI systems.
• Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Qualifications:
Required:
• Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required.
• Experience working with large language models, including fine-tuning, prompt engineering, and multi-modal interaction.
• Strong Python development skills with a focus on research-grade code and scalable data pipelines.
• Familiarity with collecting and processing large-scale datasets from open-source and web resources.
• Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging).
• Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.
• Effective communication and collaboration skills for working in cross-functional teams.
Preferred:
• PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on reasoning and LLMs preferred.
• Experience designing and deploying agentic LLM systems, reasoning benchmarks, or RAG pipelines.
• Background in building complex knowledge retrieval systems (e.g., knowledge graphs, semantic search, indexing).
• Strong publication record in leading AI conferences (e.g., ICLR, ACL, NeurIPS, EMNLP).
• Familiarity with performance constraints in production environments and the trade-offs in model and data design.
• Prior contributions to open-source ML research or data tools.
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.