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Applied Math Jobs in Seattle, WA (NOW HIRING)

Ai2

Research Engineer, Asta

Seattle, WA · On-site

Required : • A bachelor's degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise in building ML infrastructure. • ...

Opendoor

Applied Scientist AI/ML

Seattle, WA · On-site

$156K - $355K/yr

About the Role We're looking for an Applied Scientist ( ALL LEVELS ) to push the boundaries of ... Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative ...

Amazon

Applied Scientist II, Amazon Search

Seattle, WA · On-site

We are seeking a talented applied researcher to join the Whole Page Planning and Optimization (WPPO ... D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field ...

lululemon

Staff AI/ML Applied Scientist

Seattle, WA · On-site

... mathematics, or related field; Master's or PhD preferred 9-12 years of AI/ML research in industrial ... leading applied AI/ML solution delivery for highimpact business problems where solution ...

Auger

Data Scientist - Supply Chain

Bellevue, WA · On-site

Required : • Master's degree in Data Science, Statistics, Applied Mathematics, or a related quantitative field; undergraduate degree in Engineering, Mathematics, Economics, or Computer Science. • ...

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All JobsApplied Math JobsApplied Math Jobs in Seattle, WA

Applied Math information

See Seattle, WA salary details

$25.6K

$67K

$107.5K

How much do applied math jobs pay per year?

As of Jul 18, 2026, the average yearly pay for applied math in Seattle, WA is $66,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $79,700.00 per year, depending on experience, location, and employer.

What are the highest paying jobs in applied mathematics?

High-paying jobs in applied mathematics include roles such as quantitative analyst, data scientist, operations research analyst, and financial engineer, often requiring strong programming skills and advanced degrees. These positions typically offer salaries exceeding $100,000 annually, especially in finance, technology, and consulting industries.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often work with tools like programming languages and statistical software, and the degree provides a strong foundation for various technical roles.

What jobs can you get with an applied maths degree?

Applied mathematics graduates can pursue roles such as data analyst, operations researcher, financial analyst, actuary, or software developer. These jobs often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software or modeling tools in various industries like finance, technology, or healthcare.

What are applied math careers?

Applied math careers involve using mathematical methods and models to solve real-world problems across industries such as finance, engineering, data analysis, and technology. Professionals in this field often work with programming tools, statistical software, and data analysis techniques to develop solutions and support decision-making.

What are applied mathematicians?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What are the key skills and qualifications needed to thrive as an Applied Mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.
What are popular job titles related to Applied Math jobs in Seattle, WA? For Applied Math jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Seattle, WA look for? The top searched job categories for Applied Math jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Applied Math jobs? Cities near Seattle, WA with the most Applied Math job openings:
Applied Math jobs near you
Infographic showing various Applied Math job openings in Seattle, WA as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $66,958 per year, or $32.2 per hour.
Research Engineer, Asta

Research Engineer, Asta

Ai2

Seattle, WA • On-site

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Ai2 is a Seattle-based non-profit AI research institute focused on building breakthrough AI to solve the world’s biggest problems. They are seeking a Research Engineer to advance AI research and develop solutions for scientific discovery in various domains, including human-AI interaction and data-driven discovery.
Responsibilities:
• Building infrastructure to facilitate the next generation of LLM and agentic research.
• Creating AI tools to facilitate scientific discovery in domains such as biology, cancer research, neuroscience, social science, etc.
• Designing, building, and training machine learning or language models for agentic workflows.
• Bridging the gap between cutting-edge research and a widely adopted product.
• Bringing software engineering best practices to a research environment.
• Supporting and collaborating with an open-source community.
• Releasing your contributions back to the broader community in the form of open source software, model releases, and additions to Ai2’s public API and open research datasets, as well as technical reports.
Qualifications:
Required:
• A bachelor’s degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise in building ML infrastructure.
• 2+ years of experience building agentic infrastructure that handles tools, skills, and other artifacts.
• 2+ years of experience building infrastructure that handles data preprocessing/transformation and machine learning model training, evaluation, inference, and deployment.
• Knowledge of modern deep learning, natural language processing, and reinforcement learning techniques.
• Strong software engineering skills, particularly around building performant systems and debugging.
• Must have experience with Python and PyTorch/Jax/Tensorflow, agentic frameworks (e.g., MCP), as well as feel at ease in picking up new programming languages, libraries, or APIs as tools as project needs evolve.
• Familiarity with cloud compute resources (e.g., GCP, AWS, Modal) and containerization (e.g., Docker).
• Strong collaboration and communication skills - our environment is small and collaborative, and we'd like you to thrive while working closely with others, sometimes with complementary skills/perspectives.
Preferred:
• Advanced degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP or related fields and/or relevant and equivalent engineering experience.
• Contributions to open-source ML or research libraries (e.g., spaCy, AllenNLP, transformers, langchain).
• Experience successfully operating at scale in a production setting.
• Experience in HPC settings.
• Curiosity about AI research.
Company:
We are a Seattle-based non-profit AI research institute founded in 2014 by the late Paul Allen. Founded in 2014, the company is headquartered in Seattle, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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