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Summer Intern Applied Mathematics Jobs in Bothell, WA

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Summer Intern Applied Mathematics information

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$13

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$38

How much do summer intern applied mathematics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for summer intern applied mathematics in Bothell, WA is $21.62, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.18 per hour, depending on experience, location, and employer.

What does a summer intern in applied mathematics do?

A Summer Intern in Applied Mathematics typically works on mathematical modeling, data analysis, and problem-solving projects under the guidance of senior mathematicians or scientists. Their tasks may include conducting research, analyzing datasets, developing algorithms, and preparing reports or presentations. Interns often collaborate with multidisciplinary teams and gain practical experience applying mathematical concepts to real-world problems in fields such as engineering, finance, or technology.

What skills and qualifications are needed to thrive as a summer intern in applied mathematics?

To thrive as a Summer Intern in Applied Mathematics, you need a solid understanding of mathematical concepts, problem-solving abilities, and coursework in calculus, linear algebra, or statistics. Familiarity with programming languages such as Python or MATLAB and experience using mathematical modeling or statistical analysis tools are typically required. Strong analytical thinking, effective communication, and eagerness to learn help interns stand out in collaborative and research-driven environments. These skills are essential for tackling real-world quantitative challenges and contributing meaningfully to projects during the internship.

What types of projects can a summer intern in applied mathematics expect to work on, and how are these projects typically structured?

As a Summer Intern in Applied Mathematics, you can expect to engage in projects that involve data analysis, modeling, algorithm development, or optimization tasks relevant to the organization's needs. These projects are often collaborative and may pair you with a mentor or a small team of researchers or engineers. You'll likely participate in regular meetings to discuss progress, troubleshoot challenges, and present your findings. This structure provides a supportive learning environment while giving you the opportunity to apply mathematical theories to real-world problems.

What is the difference between Summer Intern Applied Mathematics vs Summer Intern Data Science?

AspectSummer Intern Applied MathematicsSummer Intern Data Science
Required CredentialsMathematics coursework, programming skillsStatistics, programming, data analysis
Work EnvironmentResearch labs, finance, tech companiesTech firms, consulting, finance
Employer & Industry UsageAcademic, finance, engineeringTech, finance, healthcare

Summer Intern Applied Mathematics typically focuses on mathematical modeling, algorithms, and problem-solving, often in finance or engineering sectors. In contrast, Summer Intern Data Science emphasizes data analysis, machine learning, and statistical modeling. Both roles require programming skills and are common in tech and finance industries, but they differ in their core focus and application areas.

What are popular job titles related to Summer Intern Applied Mathematics jobs in Bothell, WA?

For Summer Intern Applied Mathematics jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Summer Intern Applied Mathematics jobs in Bothell, WA look for?

The top searched job categories for Summer Intern Applied Mathematics jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Summer Intern Applied Mathematics jobs?

Cities near Bothell, WA with the most Summer Intern Applied Mathematics job openings:

Summer Intern Applied Mathematics jobs near you

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

Meta

Seattle, WA

Internship

Re-posted 22 days ago

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

139th of 247 rated software companies

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:
  • 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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