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Math Research Jobs in Seattle, WA (NOW HIRING)

ManTech

Science and Research Analyst

Silverdale, WA

$128K - $214K/yr

Apply complex mathematical and physics concepts to simulate the propagation and detection of ... in technical research, engineering analysis, or data modeling contexts; relevant academic ...

Nuance Labs

Nuance Research Fellow

Seattle, WA

$250K - $350K/yr

Currently enrolled in or recently completed a BS, MS, or PhD in CS, ML, math, physics, EE, or a ... Research or implementation experience with flow matching, diffusion models, rectified flows ...

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Math Research information

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$25.6K

$67K

$107.5K

How much do math research jobs pay per year?

As of Aug 21, 2026, the average yearly pay for math research 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 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 the most commonly searched types of Math Research jobs in Seattle, WA?

The most popular types of Math Research jobs in Seattle, WA are:

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

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

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

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

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

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

Math Research jobs near you
Infographic showing various Math Research job openings in Seattle, 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 $66,958 per year, or $32.2 per hour.

AI Research Scientist, New Grad - Agents & Reinforcement Learning

Snowflake Inc.

Bellevue, WA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level.
We are hiring an AI Research Scientist (New Grad) for our AI Research team. Our team is pushing the frontier of autonomous, self-improving AI systems - building agents that reason, code, and learn at scale inside the Snowflake Data Cloud. This role sits at the intersection of agentic AI and reinforcement learning, where your research will directly shape how enterprises leverage intelligent automation.
AS AN AI RESEARCH SCIENTIST AT SNOWFLAKE, YOU WILL:
  • Design and develop agentic frameworks powered by recursive self-improvement loops, enabling AI systems that iteratively refine their own capabilities and strategies
  • Build and evaluate auto research agents - systems capable of autonomously formulating hypotheses, executing experiments, and synthesizing findings
  • Develop coding agents that understand, generate, and debug code across complex, multi-step programming tasks
  • Conduct research in reinforcement learning with a focus on RLHF, DPO, and PPO as mechanisms for aligning and improving agentic behaviors
  • Contribute to multi-agent systems where specialized agents collaborate, negotiate, and self-organize to solve enterprise-scale problems
  • Develop and curate training data pipelines - both synthetic and human-annotated - to support novel agentic and RL research domains
  • Publish research findings at top-tier venues such as NeurIPS, ICML, ICLR, and ACL

OUR IDEAL AI RESEARCH SCIENTIST WILL HAVE:
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (completing or recently completed; or equivalent research experience)
  • Foundational expertise in reinforcement learning algorithms, including RLHF, DPO, PPO, or multi-agent systems
  • Research experience in LLM post-training, fine-tuning, or reasoning model development
  • Demonstrated ability to implement and experiment with agentic architectures - including tool-use, planning, and self-correction loops
  • Proficiency in Python and at least one deep learning framework (PyTorch or JAX strongly preferred)
  • Strong mathematical and analytical foundation - comfortable working at the intersection of theory and empirical research
  • At least one first-author or co-authored publication or preprint in a relevant AI/ML area

BONUS POINTS FOR THE FOLLOWING:
  • Hands-on experience building or evaluating coding agents or auto research agents
  • Familiarity with recursive self-improvement frameworks or automated AI scientist paradigms
  • Experience with large-scale distributed training or efficient training paradigms
  • Background in mathematical reasoning, structured decision-making, or program synthesis
  • Exposure to domain-specific AI applications in healthcare, finance, or enterprise workflows

WHY JOIN OUR AI RESEARCH TEAM AT SNOWFLAKE?
Snowflake's AI Research team operates at the frontier of what autonomous AI systems can do - not as a research lab disconnected from practice, but as a team where your work ships into a platform used by thousands of enterprises. You'll be working alongside researchers and engineers who are building the next generation of agentic infrastructure, with access to large-scale compute, real-world data challenges, and the shortest possible path from research idea to product impact.
For a new grad role, this is a rare opportunity to grow your research career while contributing to systems that actually run in production - shaping how AI agents reason, learn, and improve themselves inside the world's leading data cloud.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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