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Math Research Jobs in Redmond, WA (NOW HIRING)

Ai2

Research Engineer, FlexOlmo

Seattle, WA · On-site

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

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. • ...

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. • ...

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. • ...

Ai2

Research Engineer, FlexOlmo

Seattle, WA · On-site

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

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Math Research information

See Redmond, WA salary details

$25.2K

$65.9K

$105.8K

How much do math research jobs pay per year?

As of Aug 21, 2026, the average yearly pay for math research in Redmond, WA is $65,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,400.00 and $78,400.00 per year, depending on experience, location, and employer.

What is a math research?

A Math Research job involves studying mathematical theories, solving complex problems, and developing new mathematical models. Researchers may work in academia, government, or industry, applying advanced math to fields like physics, finance, cryptography, or data science. They often publish papers, collaborate with other scientists, and contribute to theoretical or applied mathematics.

What types of projects do professionals in math research typically work on?

Math Research professionals often focus on solving theoretical problems, developing new mathematical models, or applying mathematics to fields like data science, engineering, or finance. Projects can range from pure mathematical theory to practical applications such as optimizing algorithms, analyzing big data, or designing statistical tests. Researchers frequently work within academic, governmental, or private sector teams, collaborating with other scientists, engineers, or subject matter experts. This interdisciplinary approach allows for both independent and group work, providing opportunities for creative problem-solving and continuous learning.

What are the key skills and qualifications needed to thrive in math research, and why are they important?

To thrive in Math Research, you need advanced mathematical knowledge, strong analytical abilities, and a graduate degree (often a Ph.D.) in mathematics or a related field. Commonly used tools include programming languages such as Python or MATLAB, mathematical modeling software, and statistical analysis packages. Exceptional problem-solving, perseverance, and effective communication skills help researchers articulate complex findings and collaborate across disciplines. These skills ensure rigorous, innovative research that advances understanding and delivers real-world impact.

How to become a mathematics researcher?

To become a mathematics researcher, typically a candidate needs a strong foundation in advanced mathematics through a bachelor's degree, followed by a master's or Ph.D. in mathematics or a related field. Developing research skills, proficiency with mathematical software, and publishing findings in academic journals are also important steps in establishing a career in mathematical research.

What are the top 5 math research careers that pay well?

Math research careers with high earning potential include roles such as quantitative analyst, data scientist, operations researcher, actuarial scientist, and university professor in specialized fields. These positions often require advanced degrees, strong analytical skills, and proficiency with statistical and mathematical software. Salaries vary by industry and experience but generally range from six-figure incomes for experienced professionals in finance, technology, and consulting sectors.

What does a math researcher do?

A math researcher investigates mathematical theories, principles, and problems to develop new knowledge or solutions. They often work in academic, government, or private research settings, using tools like mathematical modeling, statistical analysis, and computer programming to analyze data and prove hypotheses.

What are popular job titles related to Math Research jobs in Redmond, WA?

For Math Research jobs in Redmond, WA, the most frequently searched job titles are:

What job categories do people searching Math Research jobs in Redmond, WA look for?

The top searched job categories for Math Research jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Math Research jobs?

Cities near Redmond, WA with the most Math Research job openings:

Math Research jobs near you
Infographic showing various Math Research job openings in Redmond, WA as of August 2026, with employment types broken down into 79% Full Time, 13% Part Time, and 8% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $65,895 per year, or $31.7 per hour.

Research Engineer, FlexOlmo

Ai2

Seattle, WA • On-site

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Ai2 is a non-profit AI research institute focused on developing foundational AI research and innovation. They are seeking a Research Engineer to work on next generation large language model architectures, with responsibilities including building infrastructure for LLM research and optimizing training and inference for language models.
Responsibilities:
• Building infrastructure to facilitate the next generation of LLM research.
• Optimizing training and inference for language models.
• Triaging between experiments and executing on the most impactful.
• 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 Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise at building ML infrastructure.
• 4+ years of experience building infrastructure that handles data preprocessing/transformation and model training, evaluation, inference, and deployment. Experience in the complete model development cycle, including data set construction, training, tuning, evaluation, performance profiling, and monitoring.
• Knowledge of modern deep learning and natural language processing techniques.
• Strong software engineering skills, particularly around building performant systems and debugging.
• Must have experience with Python and PyTorch/Jax/Tensorflow as well as feel at ease in picking up new programming languages, libraries, or APIs as tools as project needs evolve.
• Familiarity working with cloud compute resources (e.g. AWS) 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 Data Science/CS/EE/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).
• Experience successfully operating models 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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