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Entry Level Artificial Intelligence Research Scientist Jobs

George Mason University

Research Scientist

Fairfax, VA · On-site

College of Science Classification: Research Staff 12-month Job Category: Research Staff Job Type ... Applies machine learning (ML) and artificial intelligence (AI) techniques to enhance traditional ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence * Invent/improve novel data-driven paradigms for robotics, leveraging a ...

Meta

AI Research Scientist, Robotics

Burlingame, CA

$154K/yr

Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence * Invent/improve novel data-driven paradigms for robotics, leveraging a ...

Intology

Research Scientist

San Francisco, CA · On-site

  • PTO

PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to ...

NYULMC

Assistant Research Scientist

New York, NY · On-site

  • Medical

  • Retirement

The Assistant Research Scientist will participate in research activities related to advanced magnetic resonance imaging (MRI), image reconstruction, artificial intelligence, and quantitative imaging.

Meta

Research Scientist, World Modelling

Menlo Park, CA · On-site

$154K - $217K/yr

... artificial intelligence • Perform research that enables learning the semantics of data across ... scientists and engineers in a large cross-functional team • Open source high quality code and ...

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Entry Level Artificial Intelligence Research Scientist information

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$50.5K

$130.1K

$174K

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

As of Aug 13, 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:
Entry Level Artificial Intelligence Research Scientist jobs near you
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.

Research Scientist, World Models

Basis Research

New York, NY • On-site

$120K - $180K/yr

Full-time

Re-posted 14 days ago

Job description

About Basis
Basis is a nonprofit applied AI research organization with two mutually reinforcing goals.
The first is to understand and build intelligence. This means to establish the mathematical principles of what it means to reason, to learn, to make decisions, to understand, and to explain; and to construct software that implements these principles.
The second is to advance society's ability to solve intractable problems. This means expanding the scale, complexity, and breadth of problems that we can solve today, and even more importantly, accelerating our ability to solve problems in the future.
To achieve these goals, we're building both a new technological foundation that draws inspiration from how humans reason, and a new kind of collaborative organization that puts human values first.
About the Role
Research scientists lead Basis' efforts to develop a deeper understanding of the conceptual, mathematical, and computational principles of intelligence.
We are looking for people who are technically excellent, and who value probing concepts at their foundations. Our research scientists/engineers aspire to do rigorous, high-quality, robust science, but are not afraid to tinker, make mistakes, and explore radically different ideas in order to get there.
Basis is a collaborative effort, both internally and with our external partners; we are looking for people who enjoy working with others on problems larger than ones they can tackle alone.
Research Focus
Despite the increasing recognition that both having and discovering world models are central to intelligence, current AI systems struggle to replicate this human capability. There remains significant uncertainty about what precisely constitutes a world model, how we might reliably detect if an agent possesses one, and crucially, how we can develop agents that learn these models rapidly and reliably.
Our research within the MARA project aims to develop new foundations and technologies for modeling, abstraction, and reasoning in AI systems. MARA's overarching goal is to uncover principled methods for how intelligence constructs, refines, and utilizes world models through interactive experimentation. Building these systems will demand advances in knowledge representation, abstraction, reasoning, active learning, reinforcement learning, and a first-principles rethinking of what it means to model the world.
The immediate mission of MARA is to solve concrete challenges such as AutumnBench, physical and simulated robotics benchmarks, and the Abstract Reasoning Corpus (ARC), with the broader mission of building systems capable of learning in an open, growing portfolio of domains using human-comparable amounts of data and interaction.
Who we're looking for
  • Researchers holding a PhD in computer science, artificial intelligence, machine learning, cognitive science, or related fields.
  • Strong background in areas such as program synthesis, probabilistic programming, machine learning, AI reasoning systems, and cognitive modeling.
  • Experience in developing AI systems that combine neural and symbolic methods is highly valued.
  • Interest in foundational AI research and its applications to modeling, abstraction, and reasoning.
  • Individuals with a demonstrated track record in scientific research, evidenced through publications, technical reports, or impactful software projects.
  • Excited about solving real world problems and having positive societal impact.

Responsibilities
  • Conduct independent and collaborative research focused on the MARA project.
  • Develop new methods and algorithms for modeling, abstraction, and reasoning in AI systems.
  • Apply these methods to concrete challenges such as AutumnBench, physical and simulated robotics environments, the Abstract Reasoning Corpus (ARC), and other domains.
  • Disseminate research findings through academic publications and presentations at leading conferences.
  • Provide mentorship to junior team members and contribute to the scientific discourse through seminars, workshops, and collaborative projects.
  • Develop and maintain open-source software
  • (Optionally) Publish and present findings in journals and conferences
  • Contribute to the culture and direction of Basis
Role Details
Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
  • FT/PT: This is a full-time position
  • In-person Policy: We are in the office four days a week. Be prepared to attend multi-day Basis-wide in-person events.
  • Location: This role is in-person in either New York City or Cambridge, MA.
  • Salary range: Competitive salary.
  • Start date: Immediate start possible.

Non-Discrimination Notice
Basis Research Institute provides equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics and prohibits discrimination based on all protected characteristics.
Privacy Notice
By submitting your application, you grant Basis permission to use your materials for both hiring evaluation and recruitment-related research and development purposes. Your information may be processed in different countries, including the US. You retain copyright while providing Basis a license to use these materials for the stated purposes.
Read our full Global Data Privacy Notice here.

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