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Research Scientist Modeling Jobs (NOW HIRING)

Williammary

Research Scientist

Gloucester Point, VA

$65K/yr

The Research Scientist will join the Coastal Systems Modeling Group within CCRM to support and advance research in coastal hydrodynamics, water quality processes, and next-generation operational ...

MindSource

Research Scientist

Seattle, WA · Remote

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... More specifically, they will work on ensuring that we build models that will accelerate the ...

MindSource

Research Scientist

Seattle, WA · Remote

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... More specifically, they will work on ensuring that we build models that will accelerate the ...

Jobless

We're looking for a Research Scientist who can define what "better" actually means across all of Sanas's model families, build the evaluation infrastructure to measure it rigorously, and close the ...

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Research Scientist Modeling information

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$50.5K

$130.1K

$174K

How much do research scientist modeling jobs pay per year?

As of Sep 11, 2026, the average yearly pay for research scientist modeling 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 does a research scientist modeling do?

A Research Scientist in Modeling develops mathematical, computational, or simulation models to analyze complex systems or phenomena. They use data and theoretical frameworks to create models that can predict outcomes, solve problems, or provide insights in fields such as biology, physics, engineering, or social sciences. Their work often involves collaborating with other scientists, collecting and analyzing data, and publishing findings. The models they create can be used for research, product development, or to inform policy decisions.

What are the key skills and qualifications needed to thrive as a research scientist modeling?

To thrive as a Research Scientist Modeling, you need a strong background in mathematics, statistics, and scientific research, typically supported by an advanced degree (Master’s or PhD) in a relevant field. Expertise in programming languages such as Python or R, experience with simulation software, and familiarity with data analysis tools are commonly required. Critical thinking, problem-solving, and effective communication are essential soft skills for designing experiments and conveying complex findings. These skills enable the development of accurate models, informed decision-making, and collaboration within multidisciplinary research teams.

What are some common challenges faced by research scientist modeling professionals when working on interdisciplinary projects?

Research Scientist Modeling professionals often collaborate with experts from various fields, such as biology, engineering, and computer science. One common challenge is translating complex domain-specific knowledge into mathematical or computational models that are both accurate and accessible to all stakeholders. Effective communication and adaptability are essential, as team members may have diverse perspectives and technical backgrounds. Staying current with advancements in both modeling techniques and domain knowledge is also crucial for success in interdisciplinary environments.

What is the difference between Research Scientist Modeling vs Data Scientist?

AspectResearch Scientist ModelingData Scientist
Required CredentialsMaster's or PhD in STEM fields, specialized modeling skillsBachelor's or Master's in CS, stats, or related fields, strong programming skills
Work EnvironmentResearch labs, academic institutions, R&D departmentsBusiness settings, tech companies, analytics teams
Industry UsageFocus on developing and validating models for scientific researchAnalyzing data to inform business decisions and strategies

Research Scientist Modeling and Data Scientist roles share a focus on data analysis and modeling but differ in their primary goals. Research Scientists Modeling often work in academic or R&D environments, emphasizing scientific discovery and model development. Data Scientists typically operate within business contexts, applying data analysis to solve practical problems. Both roles require strong analytical skills, but their applications and work settings vary.

What are popular job titles related to Research Scientist Modeling jobs?

For Research Scientist Modeling jobs, the most frequently searched job titles are:

Infographic showing various Research Scientist Modeling job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

AI Research Scientist, Modeling & ToolCalling - MSL

Menlo Park, CA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$184K/yr

Full-time

Re-posted 12 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

We are seeking AI researchers for the Modeling & ToolCalling team within Meta Superintelligence Labs. This team is focused on LLM post-training, with emphasis on advancing long-horizon agentic tool use, search, personalization, and other frontier capabilities required for models to operate effectively in real-world settings.
AI Research Scientist, Modeling & ToolCalling - MSL Responsibilities:
  • Work across the full LLM post-training stack
  • Building high-quality training data, and designing and running evaluations
  • Execute and iterate on post-training runs
  • Own end-to-end LLM capability “hill-climbing”
  • Conduct research on improved training and data curation strategies
  • Lead complex technical projects end-to-end

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Currently has, or is in the process of obtaining, a PhD degree in Computer Science or a related technical field
  • 2+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML models
  • Deep, practical experience in LLM post-training
  • Experience as a technical lead on a team and/or leading complex technical projects from end to end
  • Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI

Preferred Qualifications:
  • Extensive experience working on long horizon agents, agentic tool use, personalization, and/or search
  • Experience working on frontier-quality, state-of-the-art Large Language Models
  • First-author publications at top peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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