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Phd Math Jobs in Seattle, WA (NOW HIRING)

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...

Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for ...

MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline * Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl * Strong ...

Senior Electrical Design Engineer

Seattle, WA · On-site

$118K - $159K/yr

... mathematics, physics or chemistry (e.g. Bachelor's) * Typically 9 or more years' related work experience or an equivalent combination of technical education * Experience (e.g. PhD+4 years' related ...

PhD from an accredited college/university with a major related to the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences. Must have a strong ...

PhD from an accredited college/university with a major related to the task order, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences. Must have a strong ...

PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or similar technical field * Knowledge of machine learning and data mining techniques in one or ...

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Masters or PhD in Computer Science Statistics Mathematics or a related field. * Proficiency in Python or R and strong SQL skills. * Experience with ML frameworks eg scikitlearn XGBoost TensorFlow ...

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Phd Math information

See Seattle, WA salary details

$9

$31

$44

How much do phd math jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for phd math in Seattle, WA is $31.62, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $33.37 per hour, depending on experience, location, and employer.

What are PhD math graduates qualified to do after earning their degree?

PhD Math graduates are equipped for a range of careers that require advanced mathematical knowledge and research skills. Many pursue academic positions as professors or researchers at universities, while others work in industry roles such as data scientists, quantitative analysts, or mathematicians in government and private sectors. Their expertise is valuable in finance, technology, engineering, and consulting, where complex problem-solving and analytical abilities are essential. Additionally, some contribute to interdisciplinary research, policy analysis, or science communication.

What are the typical collaborative opportunities for someone in a PhD-level mathematics role?

PhD-level mathematicians often work within interdisciplinary teams, collaborating with professionals in fields like computer science, engineering, economics, and data science. These collaborations usually involve joint research projects, problem-solving sessions, or co-authoring academic papers. Mathematicians may also work closely with industry partners to apply theoretical models to real-world challenges, such as optimizing algorithms or analyzing large data sets. This teamwork fosters both professional growth and the opportunity to see the practical impact of mathematical research.

What are the key skills and qualifications needed to thrive as a PhD-level mathematician, and why are they important?

To thrive as a PhD-level Mathematician, you need advanced expertise in mathematical theory, analytical reasoning, and problem-solving, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and experience with academic research tools are commonly required. Strong communication, perseverance, and collaboration skills help stand out when presenting findings and working in interdisciplinary teams. These competencies are crucial for contributing original research, solving complex problems, and advancing mathematical knowledge in academic or industry settings.

What is the difference between Phd Math vs Data Scientist?

AspectPhd MathData Scientist
Required CredentialsPhD in Mathematics or related fieldBachelor's or Master's in CS, Stats, or Math; often prefers PhD
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search/ComparisonYesYes

While both roles require strong analytical skills, a Phd Math typically focuses on theoretical research and academic or research institution work. In contrast, a Data Scientist applies statistical and mathematical techniques to solve practical business problems in industry settings. The credentials overlap, but the work environment and application focus differ significantly.

Do math PhDs make good money?

Math PhDs often pursue careers in academia, research, data science, or finance, where salaries can vary widely. In industry roles such as quantitative analysis or data science, they tend to earn higher salaries, often exceeding $100,000 annually, especially with experience and specialized skills. However, academic positions may offer lower pay compared to private sector roles.

Is a PhD in math useful?

A PhD in math is highly valuable for careers in academia, research, data science, and quantitative analysis, where advanced analytical and problem-solving skills are essential. It can also open opportunities in industry sectors such as finance, technology, and engineering, often requiring expertise in mathematical modeling and programming tools like MATLAB or Python.

What is the salary of a PhD in math?

A PhD in math typically earns between $70,000 and $120,000 annually, depending on the industry, location, and experience. Academic positions such as university professors may have lower starting salaries but offer research and teaching opportunities, while industry roles in finance, data science, or technology tend to offer higher compensation.

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

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

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

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

Infographic showing various Phd Math job openings in Seattle, WA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, 2% Contract, and 1% Nights. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $65,775 per year, or $31.6 per hour.

Research Scientist Intern, Monetization Generative AI - LLM (PhD)

Bellevue, WA • On-site

Meta
Internet and IT • 10K+ employees

Internship

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


Key responsibilities

  • Perform research to advance the science and technology of intelligent machines

  • Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources

  • Analyze and improve efficiency, scalability, and stability of various deployed systems


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz


Job description

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Monetization Generative AI - LLM (PhD) Responsibilities:
  • Perform research to advance the science and technology of intelligent machines
  • Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources
  • Analyze and improve efficiency, scalability, and stability of various deployed systems
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Publish research results and contribute to research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field
  • Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
  • Experience with Python, C++, C, Java or other related language
  • Experience with deep learning frameworks such as Pytorch or Tensorflow
  • Experience building systems based on machine learning, deep learning methods, or natural language processing

Preferred Qualifications:
  • Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platform involving big data management and GPU compute
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, AAAI, RecSys, KDD, IJCAI, CVPR, ECCV, ACL, NAACL, EACL, ICASSP, or similar
  • Experience with Large Language Models, on top of the latest research of text only input and multimodal input to large language models
  • Experience with ML areas such as Natural Language Processing, Speech, Multimodal Reasoning & Retrieval, Visual Question & Answering
  • Experience building systems based on machine learning, reinforcement learning and/or deep learning methods
  • Experience working and communicating cross functionally in a team environment
  • Experience with training deep neural networks for key NLP tasks
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
  • Intent to return to degree program after the completion of the internship/co-op

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.
$7,650/month to $12,667/month + 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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