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Mathematical Modeling Jobs in Seattle, WA (NOW HIRING)

Blue Origin

GN&C Navigation Engineer III

Seattle, WA · On-site

$164K - $230K/yr

Experience with simulation, mathematical modeling, data analysis, and technical writing and presentation preferred. Your efforts will further the design of Blue Origin versatile spacecraft that will ...

Blue Origin, LLC

GN&C Navigation Engineer III

Seattle, WA · On-site

$164K - $230K/yr

Experience with simulation, mathematical modeling, data analysis, and technical writing and presentation preferred. Your efforts will further the design of Blue Origin versatile spacecraft that will ...

SEI

Data and Analytics Consultant

Seattle, WA

Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods * Experience and knowledge of programming and scripting languages such as, but ...

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All JobsMathematical Modeling JobsMathematical Modeling Jobs in Seattle, WA

Mathematical Modeling information

See Seattle, WA salary details

$31.3K

$64.6K

$68.9K

How much do mathematical modeling jobs pay per year?

As of Sep 7, 2026, the average yearly pay for mathematical modeling in Seattle, WA is $64,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,100.00 and $67,700.00 per year, depending on experience, location, and employer.

What is mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

How to get a job in mathematical modeling?

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

What are the key skills and qualifications needed to thrive as a mathematical modeler, and why are they important?

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What do you do in mathematical modeling?

In mathematical modeling, a mathematical modeler develops mathematical representations of real-world systems to analyze and predict their behavior. This involves formulating equations, using computational tools, and validating models with data to support decision-making or problem-solving. Strong analytical skills and knowledge of programming languages like Python or MATLAB are often essential.
More about Mathematical Modeling jobs

What are the most commonly searched types of Mathematical Modeling jobs in Seattle, WA?

The most popular types of Mathematical Modeling jobs in Seattle, WA are:

What are popular job titles related to Mathematical Modeling jobs in Seattle, WA?

For Mathematical Modeling jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Mathematical Modeling jobs in Seattle, WA look for?

The top searched job categories for Mathematical Modeling jobs in Seattle, WA are:

Mathematical Modeling jobs near you
Infographic showing various Mathematical Modeling job openings in Seattle, WA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $64,552 per year, or $31 per hour.

Research Engineer, Machine Perception (Project Aria)

Meta

Redmond, WA • On-site

$154K/yr

Full-time

Posted 19 days ago

Key responsibilities

  • Plan and execute engineering development to advance machine perception technologies for AR/VR.

  • Develop and prototype hardware and software systems from research prototypes to on-device deployment.

  • Analyze and improve the efficiency, accuracy, scalability, and stability of deployed perception systems.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Meta Reality Labs Research (RL Research) brings together a multidisciplinary, cross-discipline R&D team with the shared goal of developing the next generation of AR and VR technologies. The Project Aria team works on complex, open problems in machine perception — building the complete stack from sensor design through state estimation, tracking, calibration, and 3D reconstruction to novel scene representations. We are seeking a Research Engineer to develop and advance the algorithms and software systems that turn cutting-edge perception research into robust, deployable technology on future AR/VR devices.
Research Engineer, Machine Perception (Project Aria) Responsibilities:
  • Plan and execute innovative engineering development to advance the state-of-the-art in machine perception for AR/VR — including vision-language models (VLMs), multimodal and egocentric scene understanding, and foundation models
  • Develop and prototype tightly integrated hardware/software technologies, from research prototype to on-device deployment
  • Analyze and improve the efficiency, accuracy, scalability, and stability of currently deployed systems
  • Design, implement, and evaluate algorithms against real sensor data and experimental hardware
  • Build tooling and infrastructure (data pipelines, replay/evaluation systems, benchmarks) that accelerate the research team
  • Collaborate with researchers and engineers across disciplines throughout the project lifecycle, and clearly communicate agenda, progress, and results

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of C++ or Python experience building and shipping software systems
  • Experience understanding, developing, and analyzing complex systems
  • Experience with statistical analysis of data and mathematical modeling
  • Interpersonal experience: cross-group and cross-functional collaboration
  • Must obtain and maintain work authorization in the country of employment during employment

Preferred Qualifications:
  • Master's or PhD in Computer Science, Computer Vision, Machine Learning, or a related field
  • Experience taking research prototypes to deployed products on constrained/embedded hardware
  • Track record of results via first-authored publications at leading venues (CVPR, ICCV/ECCV, NeurIPS, ICLR, SIGGRAPH) or widely used open-source contributions
  • Broad understanding of the full machine-perception pipeline, from sensors to high-level algorithms
  • Experience with 3D computer vision, SLAM, vision-language models (VLMs), or multimodal learning

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.
$154,003/year to $217,000/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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