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Science Intern Jobs in Seattle, WA (NOW HIRING)

DataRobot

Agentic AI Intern

Seattle, WA · Remote

  • Medical

  • Dental

  • Vision

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data ...

DataRobot

Agentic AI Intern

Seattle, WA · Remote

  • Medical

  • Dental

  • Vision

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data ...

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Showing results 21-40

All JobsScience Intern JobsScience Intern Jobs in Seattle, WA

Science Intern information

See Seattle, WA salary details

$10

$19

$27

How much do science intern jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for science intern in Seattle, WA is $19.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.88 per hour, depending on experience, location, and employer.

What is a science intern?

Science Interns are students or recent graduates who work temporarily in scientific organizations, laboratories, or research facilities to gain practical experience and foundational knowledge in a specific scientific field. Their duties often include assisting with experiments, collecting and analyzing data, and supporting research projects under the supervision of experienced scientists. This role provides an opportunity to apply classroom learning in real-world settings, develop technical and analytical skills, and explore potential career paths in science. Science internships can be found in a variety of sectors, such as academia, healthcare, biotechnology, and environmental science.

What types of projects and tasks can I expect to work on as a science intern?

As a Science Intern, you'll typically support ongoing research or development projects by assisting with data collection, conducting experiments, analyzing results, and preparing reports or presentations. You may also be asked to help maintain laboratory equipment or contribute to literature reviews. The specific tasks depend on the organization's focus, but you will often collaborate closely with scientists, researchers, and other interns, gaining valuable hands-on experience and exposure to real-world scientific processes.

What are the key skills and qualifications needed to thrive as a science intern, and why are they important?

To thrive as a Science Intern, you need a solid background in scientific principles, research methods, and data analysis, often supported by ongoing or completed coursework in a relevant STEM field. Familiarity with laboratory equipment, scientific software (such as Excel, SPSS, or Python), and safety protocols is typically required. Attention to detail, curiosity, and strong communication skills help interns effectively contribute to research teams and projects. These skills and qualities are essential to ensuring accuracy, fostering innovation, and supporting the overall goals of scientific research environments.

What are the most commonly searched types of Science jobs in Seattle, WA?

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

What cities near Seattle, WA are hiring for Science Intern jobs?

Cities near Seattle, WA with the most Science Intern job openings:

Science Intern jobs near you
Infographic showing various Science Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 23% Internship, 50% Full Time, 18% Part Time, and 9% Temporary. Highlights an 84% In-person, 9% Hybrid, and 7% Remote job distribution, with an average salary of $40,327 per year, or $19.4 per hour.

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

Meta

Bellevue, WA

Internship

Re-posted 2 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 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:
  • 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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