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Applied Science Intern Jobs (NOW HIRING)

EXOS

Sports Science Intern - Spring 2026

Alpharetta, GA · On-site

$14.75 - $19.50/hr

Support applied research, literature review, and data presentation. * Calibrate and maintain ... Sports Science, Exercise Science, Kinesiology, or related field. * Strong foundation in human ...

NCSU

LAS Intern

Raleigh, NC · On-site

$13 - $17.50/hr

... intern to complete research in the areas of interest to LAS ... Potential areas of research include but are not limited to: social sciences, applied sciences and ...

Labelbox

Applied Research Intern

San Francisco, CA

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize ... D. or Master's degree in Computer Science, Machine Learning, AI, or a related field (in progress ...

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How much do applied science intern jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for applied science intern in the United States is $25.50, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $25.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Applied Science Intern, and why are they important?

To thrive as an Applied Science Intern, you need a solid background in mathematics, statistics, and programming, typically supported by coursework or a degree in computer science, engineering, or a related field. Familiarity with data analysis tools (such as Python, R, or MATLAB), machine learning frameworks, and cloud platforms is often required. Strong analytical thinking, effective communication, and a willingness to learn make candidates stand out in this role. These skills are vital for contributing to research-driven projects, interpreting complex data, and collaborating efficiently with multidisciplinary teams.

What does an Applied Science Intern do?

An Applied Science Intern typically works on research and development projects that involve applying scientific and quantitative methods to solve real-world problems. Their tasks may include data analysis, building machine learning models, conducting experiments, and collaborating with engineers or scientists to develop innovative solutions. Interns often gain hands-on experience with advanced technologies and tools while contributing to impactful projects within a company or research lab.

What is the difference between Applied Science Intern vs Research Intern?

AspectApplied Science InternResearch Intern
Required CredentialsTypically pursuing or holding a degree in applied sciences, engineering, or related fieldsUsually students or recent graduates in science, engineering, or related disciplines
Work EnvironmentHands-on, practical projects in labs, manufacturing, or industry settingsLaboratory, academic, or theoretical research environments
Employer & Industry UsageIndustries like manufacturing, technology, and engineering firmsUniversities, research institutes, and R&D departments

Applied Science Interns focus on applying scientific principles to real-world projects within industry settings, while Research Interns typically work on theoretical or experimental research in academic or research institutions. Both roles require a background in science or engineering but differ mainly in their work environment and project focus.

What types of projects do Applied Science Interns typically work on, and how much independence is expected?

Applied Science Interns usually contribute to research-driven projects that involve data analysis, algorithm development, or building prototypes to solve real business problems. While interns often collaborate closely with experienced scientists, they are also expected to take initiative, perform independent research, and present their findings to the team. Regular check-ins and mentorship are common, but you'll be encouraged to bring fresh ideas and drive small-scale experiments or analyses on your own. This balance of guidance and autonomy helps interns gain practical experience and prepares them for future full-time roles.
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Applied Science Intern jobs near you
Infographic showing various Applied Science Intern job openings in the United States as of May 2026, with employment types broken down into 13% As Needed, 49% Full Time, and 38% Part Time. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $53,047 per year, or $25.5 per hour.
Research Scientist Intern PhD, Applied Research

Research Scientist Intern PhD, Applied Research

Meta

New York, NY

Internship

Posted 20 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

120th of 186 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.Meta is seeking Research Interns to join our Products and Applied Research team. 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 PhD, Applied Research Responsibilities:
  • Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques
  • Help analyze and improve safety and robustness of corresponding deployed algorithms based on the project
  • Perform research to advance the science and technology of intelligent machines
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results
  • Disseminate research 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, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Research experience in machine learning, deep learning, computer vision and/or natural language processing
  • Experience with Python, C++, C, Java or other related languages
  • Experience with deep learning frameworks such as Pytorch or Tensorflow

Preferred Qualifications:
  • Intent to return to the degree program after the completion of the internship/co-op
  • 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 working and communicating cross functionally in a team environment
  • Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
  • Experience solving analytical problems using quantitative approaches
  • Experience setting up ML experiments and analyzing their results
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience with explainable AI methods and topics around LLM safety alignment
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

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 $12,134/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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